Sharpe's books are riveting inspirational thrillers written in honor of her daughter Kate and her husband Steve.

Brady, Brannon and Rich Talent Agency is proud to have Steve Tyler join our commercial acting roster," says Stuart K. Robinson, Chief Executive Officer/Partner Brady, Brannon & Rich/Bx2 Entertainment.

One hour course accredited by AIA and IDCEC for architects, interior designers, planners, and others involved in the design process.

Virtual Event Featured How To Bulletproof Your Business To Survive And Thrive In Any Economy

For the first time in over five years, Klarna STYLE360 will be participating in Fall/Winter New York Fashion Week with numerous see and shop presentations

Evan Loomis and Evan Baehr, coauthors of "Get Backed," on how to win someone over with PowerPoint.

Presentation management puts a strategic workflow process around presentation files, such as: PowerPoint, video, images, PDFs, and any other file types you use in business

The Securities and Exchange Commission today filed settled charges against registered broker-dealer Bloomberg Tradebook LLC for making material misrepresentations and omitting material facts about how the firm handled certain customer trade orders. The…

The RADIO ADVERTISING BUREAU's next webinar in its "Business Unusual" program's "Open for Business" series, “Creating Audience Engagement,” will … more

Creating a presentation is one of the best ways to convey information to a wide audience in an easy-to-follow manner. Such presentations are often made using attractive and unique designs to help draw-in viewers. One style that has remained popular among presentation designers throughout the years is “minimalist” presentations. Minimalist presentations rely on the concept...

We introduce an infinite-dimensional $p$-adic affine group and construct its irreducible unitary representation. Our approach follows the one used by Vershik, Gelfand and Graev for the diffeomorphism group, but with modifications made necessary by the fact that the group does not act on the phase space. However it is possible to define its action on some classes of functions.

The Gabriel-Roiter measure is used to give an alternative proof of the finiteness of the representation dimension for Artin algebras, a result established by Iyama in 2002. The concept of Gabriel-Roiter measure can be extended to abelian length categories and every such category has multiple Gabriel-Roiter measures. Using this notion, we prove the following broader statement: given any object $X$ and any Gabriel-Roiter measure $mu$ in an abelian length category $mathcal{A}$, there exists an object $X'$ which depends on $X$ and $mu$, such that $Gamma = operatorname{End}_{mathcal{A}}(X oplus X')$ has finite global dimension. Analogously to Iyama's original results, our construction yields quasihereditary rings and fits into the theory of rejective chains.

Bernstein, Frenkel, and Khovanov have constructed a categorification of tensor products of the standard representation of $mathfrak{sl}_2$, where they use singular blocks of category $mathcal{O}$ for $mathfrak{sl}_n$ and translation functors. Here we construct a positive characteristic analogue using blocks of representations of $mathfrak{sl}_n$ over a field $ extbf{k}$ of characteristic $p$ with zero Frobenius character, and singular Harish-Chandra character. We show that the aforementioned categorification admits a Koszul graded lift, which is equivalent to a geometric categorification constructed by Cautis, Kamnitzer, and Licata using coherent sheaves on cotangent bundles to Grassmanians. In particular, the latter admits an abelian refinement. With respect to this abelian refinement, the stratified Mukai flop induces a perverse equivalence on the derived categories for complementary Grassmanians. This is part of a larger project to give a combinatorial approach to Lusztig's conjectures for representations of Lie algebras in positive characteristic.

We prove that there are no irreducible representations of $B_n$ of dimension $n+1$ for $ngeq 10.$

Position encoding (PE), an essential part of self-attention networks (SANs), is used to preserve the word order information for natural language processing tasks, generating fixed position indices for input sequences. However, in cross-lingual scenarios, e.g. machine translation, the PEs of source and target sentences are modeled independently. Due to word order divergences in different languages, modeling the cross-lingual positional relationships might help SANs tackle this problem. In this paper, we augment SANs with emph{cross-lingual position representations} to model the bilingually aware latent structure for the input sentence. Specifically, we utilize bracketing transduction grammar (BTG)-based reordering information to encourage SANs to learn bilingual diagonal alignments. Experimental results on WMT'14 English$Rightarrow$German, WAT'17 Japanese$Rightarrow$English, and WMT'17 Chinese$Leftrightarrow$English translation tasks demonstrate that our approach significantly and consistently improves translation quality over strong baselines. Extensive analyses confirm that the performance gains come from the cross-lingual information.

Representation learning is a critical ingredient for natural language processing systems. Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards token- and sentence-level training objectives and do not leverage information on inter-document relatedness, which limits their document-level representation power. For applications on scientific documents, such as classification and recommendation, the embeddings power strong performance on end tasks. We propose SPECTER, a new method to generate document-level embedding of scientific documents based on pretraining a Transformer language model on a powerful signal of document-level relatedness: the citation graph. Unlike existing pretrained language models, SPECTER can be easily applied to downstream applications without task-specific fine-tuning. Additionally, to encourage further research on document-level models, we introduce SciDocs, a new evaluation benchmark consisting of seven document-level tasks ranging from citation prediction, to document classification and recommendation. We show that SPECTER outperforms a variety of competitive baselines on the benchmark.

Recent single image unsupervised representation learning techniques show remarkable success on a variety of tasks. The basic principle in these works is instance discrimination: learning to differentiate between two augmented versions of the same image and a large batch of unrelated images. Networks learn to ignore the augmentation noise and extract semantically meaningful representations. Prior work uses artificial data augmentation techniques such as cropping, and color jitter which can only affect the image in superficial ways and are not aligned with how objects actually change e.g. occlusion, deformation, viewpoint change. In this paper, we argue that videos offer this natural augmentation for free. Videos can provide entirely new views of objects, show deformation, and even connect semantically similar but visually distinct concepts. We propose Video Noise Contrastive Estimation, a method for using unlabeled video to learn strong, transferable single image representations. We demonstrate improvements over recent unsupervised single image techniques, as well as over fully supervised ImageNet pretraining, across a variety of temporal and non-temporal tasks. Code and the Random Related Video Views dataset are available at https://www.github.com/danielgordon10/vince

Multimodal Sentiment Analysis is an active area of research that leverages multimodal signals for affective understanding of user-generated videos. The predominant approach, addressing this task, has been to develop sophisticated fusion techniques. However, the heterogeneous nature of the signals creates distributional modality gaps that pose significant challenges. In this paper, we aim to learn effective modality representations to aid the process of fusion. We propose a novel framework, MISA, which projects each modality to two distinct subspaces. The first subspace is modality invariant, where the representations across modalities learn their commonalities and reduce the modality gap. The second subspace is modality-specific, which is private to each modality and captures their characteristic features. These representations provide a holistic view of the multimodal data, which is used for fusion that leads to task predictions. Our experiments on popular sentiment analysis benchmarks, MOSI and MOSEI, demonstrate significant gains over state-of-the-art models. We also consider the task of Multimodal Humor Detection and experiment on the recently proposed UR_FUNNY dataset. Here too, our model fares better than strong baselines, establishing MISA as a useful multimodal framework.

Unsupervised learning of hidden representations has been one of the most vibrant research directions in machine learning in recent years. In this work we study the brain-like Bayesian Confidence Propagating Neural Network (BCPNN) model, recently extended to extract sparse distributed high-dimensional representations. The saliency and separability of the hidden representations when trained on MNIST dataset is studied using an external classifier, and compared with other unsupervised learning methods that include restricted Boltzmann machines and autoencoders.

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, and could largely reduce the efforts of clinicians and accelerate the diagnosis process. Chest computed tomography (CT) has been recognized as an informative tool for diagnosis of the disease. In this study, we propose to conduct the diagnosis of COVID-19 with a series of features extracted from CT images. To fully explore multiple features describing CT images from different views, a unified latent representation is learned which can completely encode information from different aspects of features and is endowed with promising class structure for separability. Specifically, the completeness is guaranteed with a group of backward neural networks (each for one type of features), while by using class labels the representation is enforced to be compact within COVID-19/community-acquired pneumonia (CAP) and also a large margin is guaranteed between different types of pneumonia. In this way, our model can well avoid overfitting compared to the case of directly projecting highdimensional features into classes. Extensive experimental results show that the proposed method outperforms all comparison methods, and rather stable performances are observed when varying the numbers of training data.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining a set of training data, wherein the set of training data comprises sequences of words; training a classifier and an embedding function on the set of training data, wherein training the embedding function comprises obtained trained values of the embedding function parameters; processing each word in the vocabulary using the embedding function in accordance with the trained values of the embedding function parameters to generate a respective numerical representation of each word in the vocabulary in the high-dimensional space; and associating each word in the vocabulary with the respective numeric representation of the word in the high-dimensional space.

A time warp contour calculator for use in an audio signal decoder receives an encoded warp ratio information, derives a sequence of warp ratio values from the encoded warp ratio information, and obtains warp contour node values starting from a time warp contour start value. Ratios between the time warp contour node values and the time warp contour starting value are determined by the warp ratio values. The time warp contour calculator computes a time warp contour node value of a given time warp contour node, on the basis of a product-formation having a ratio between the time warp contour node values of the intermediate time warp contour node and the time warp contour starting value and a ratio between the time warp contour node values of the given time warp contour node and of the intermediate time warp contour node as factors.

Various embodiments present a combined visual entity that represents overlapping visual entities. The combined visual entity can include a primary visualization that represents one of the overlapping visual entities and annotations that represent others of the overlapping visual entities. For example, a map view can include multiple geographical entities that overlap. A primary visualization can be rendered that represents one of the multiple geographical entities. The primary visualization can be visually annotated (e.g., with symbols, letters, or other visual indicators) to indicate others of the multiple geographical entities. In some embodiments, a zoom operation can cause visual entities to be added and/or removed from the combined visual entity.

The present invention provides techniques relating to rich media advertising. Techniques are provided in which an advertiser-provided image-based component of an advertisement creative is matched with an advertiser-provided audio component of the advertisement creative. A rich media advertisement may be served that includes the image-based component and a synchronously presented audio component. Presentation of the rich media advertisement on a user computer may not require downloading or utilization of a video player.

A display device such as a TV has both HDMI and IP network interfaces and uses the HDMI interface to exchange IP network parameters with an audio video application module (AVAM) upon HDMI connection. In this way, an IP-based peer-to-peer or client-server network connection can be automatically established to promote faster communication when sharing and executing applications between the devices than is typically available over the CEC link of HDMI.

Thumbnail images representative of recorded TV programs are generated and presented to aid a user in browsing the recorded TV programs. In one implementation, a temporary thumbnail image is generated when a TV program first starts recording. The temporary thumbnail is used to populate any user interface (UI) screens that reference the recoded TV program. Once the TV program has reached a threshold amount of recording (e.g., a prescribed duration of recording, or completion of the recording), a permanent thumbnail image is generated and associated with the TV program. The permanent thumbnail is then presented in any subsequent UI screens, replacing the temporary thumbnail. In another implementation, display of the thumbnail images in the UI screens may be further controlled by setting preferences, such as parental controls.

A tridimensional modeling apparatus, system and kit is for representing an exploration network. The apparatus, system and kit include a transparent hollow cube with six plane surfaces for representing an enclosed volume, a plurality of perforations on at least two of the six plane surfaces and indicia around each opening for marking polar coordinates and orientation. The apparatus, system and kit further include a plurality of transparent rods for representing exploration channels. The plurality of perforations on the cube are arranged for receiving rods for tridimensional modeling of the exploration network and each rod is inserted into an opening with an angle and a depth, thereby resulting in a visual representation of the exploration network within the represented volume.

Systems and methods for annotating electronic meetings are generally provided. Embodiments herein may include receiving an indication of one or more trusted users for an electronic meeting. The one or more trusted users may include a subset of a plurality of attendees of the electronic meeting. Annotation privileges may be associated with the one or more trusted users for the electronic meeting. An annotation associated with the electronic meeting may be received from at least one of the one or more trusted users. An output representative of the annotation may be generated.

The invention relates to a system, method and device for changing a notional viewing location for a moving image on a device, depending on an orientation of the device. For the moving image management system, it comprises: a sensor; a movement detection module connected to the sensor providing movement data registering a notable signal from the sensor; and a moving image adjustment module determining a new viewing location of the moving image utilizing the movement data and generating a replacement moving image for the moving image representing the moving image as viewed from the new viewing location.

In general, this disclosure describes techniques for changing a sampling frequency of a digital signal. In particular, the techniques provide a more accurate way to determining a relative timing between a desired output sample and a corresponding input sample using a non-approximated integer representation of the relative timing. The relative timing between the desired output sample and corresponding input sample may be represented using a first component that identifies a latest input sample of the digital signal used to generate intermediate samples, a second component that identifies an intermediate sample, and a third component that identifies a timing difference between the desired output sample and the intermediate sample. Each of the components may be recursively updated using non-approximated integer values.

An apparatus, method, and computer program product are disclosed for trigger-based content presentation. A trigger module detects a triggering event. A response module determines a content element to present to a user in response to the triggering event. The content element may include a multimedia element and one or more interactive content elements that are synchronized with the multimedia element such that the one or more interactive content elements are presented at predetermined points during presentation of the multimedia element. A presentation module presents the determined content element on a device of the user.

Various embodiments present a combined visual entity that represents overlapping visual entities. The combined visual entity can include a primary visualization that represents one of the overlapping visual entities and annotations that represent others of the overlapping visual entities. For example, a map view can include multiple geographical entities that overlap. A primary visualization can be rendered that represents one of the multiple geographical entities. The primary visualization can be visually annotated (e.g., with symbols, letters, or other visual indicators) to indicate others of the multiple geographical entities. In some embodiments, a zoom operation can cause visual entities to be added and/or removed from the combined visual entity.

The general field of the invention is that of methods of three-dimensional graphical representation of a landing runway on a viewing screen of an onboard viewing system for aircraft, the said graphical representation being displayed in a synthetic view of an exterior landscape. The graphical representation according to the invention comprises a line disposed along the axis of the runway, the said line being a straight stripe inclined by an angle of between one and a few degrees with respect to the horizontal, the said line beginning at the runway threshold.

A circuit and a method for converting an analog signal to a digital value representation is disclosed. In one aspect, the circuit includes an incremental sigma-delta analog-to-digital converter (ADC). The circuit further includes a first input line for providing a primary analog signal representing a sensor measurement to the incremental sigma-delta ADC. The circuit further includes a second input line for providing a secondary analog signal to the incremental sigma-delta ADC. The incremental sigma-delta ADC receives the primary and secondary analog signals during a first period (TADC1) and a second period (TADC2), respectively. The circuit further includes a filter configured to weight the digital values in a sequence of digital values output by the incremental sigma-delta ADC, and to output a single digital value representing the sensor measurement.

Humberto Corte's presentation on sound editing at the sound designers meetup

On December 12th 2015 Luca Fusi gave a talk on comedic sound design for the Vancouver Sound Designers Meetup group. I filmed and edited the presentation for the group's youtube channel.

It turns out that our motivational system has a lot to do with how we present ourselves. In this edition of Two Guys on Your Head,  Dr. Art Markman and Dr. Bob Duke talk about the psychology behind motivation and self-presentation and what that means when it comes to gender.

Currently I’m in Cork, Ireland to present and perform at the International Sound in Science Technology and the Arts (ISSTA 2019) conference. This year on Thursday, October 31st I am scheduled to give a paper about a project I have … Continue reading →

As alcohol-related presentations drop by a third in the Alice Springs Hospital Emergency Department, highly contested Government alcohol polices are being credited for the dramatic reduction.

Five common accessibility presentation problems — the frustrating five — can thwart your attempts to enlighten your listeners. Rest easy. This article identifies these troublesome issues, then details the techniques you can use to avoid the issues, whether you are using IBM® Symphony® or Microsoft® PowerPoint®.

Working from home is tough, and when Isaac Parker tries to have a productive meeting with his team, his annoying younger stepbrother, Johnny Ford, refuses to leave him alone. Pretty soon, the businessman puts the virtual meeting on mute and lets the little guy suck his cock while he works! See more at FamilyDick.

The post FamilyDick: Brotherly Affection – Chapter 2: Virtual Presentation appeared first on QueerClick.