Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.

Abstract: The present invention relates to ionic silicone hydrogel polymers comprising at least one pharmaceutical or nutriceutical component and displaying improved lysozyme uptake, low contact angle and reduced water soluble polymeric ammonium salt uptake.

Abstract: The present invention relates to ionic silicone hydrogel contact lenses which comprise at least one pharmaceutical or nutriceutical component and are formed from reaction mixtures comprising a mixture of slow-reacting hydrophilic monomers, including at least one slow-reacting ionic monomer, at least one silicone-containing component and at least one hydroxyl-containing component, wherein the ratio of the slow-reacting hydrophilic component half lives to the silicone-containing component half life is at least 2.

Abstract: The present invention relates to ionic silicone hydrogel polymers displaying improved thermal stability. More specifically, the present invention relates to a polymer formed from reactive components comprising at least one silicone component and at least one ionic component comprising at least one anionic group. The polymers of the present invention display good thermal stability and desirable protein uptake.

Abstract: The present invention relates to ionic silicone hydrogel polymers displaying improved thermal stability. More specifically, the present invention relates to a polymer formed from reactive components comprising at least one silicone component and at least one ionic component comprising at least one anionic group. The polymers of the present invention display good thermal stability and desirable protein uptake.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: Methods, systems, and computer-readable media for identifying intentions related to a user's present intention are provided. The user's present intention may be determined by mapping the user's current actions to a present intent. A related intent may be determined using an intent chain. The intent chain may be generated by analyzing patterns of user activities and mapping the patterns of activities to the underlying intents.

Abstract: An interactive voice advertisement exchange presents an interactive voice advertisement to a user of a voice network who is placed on hold. After the user sends a signal response from a user device to a receiving system and is placed on hold, the hold time and a parameter associated with the signal response are received from the receiving system. Using the hold time and the parameter, an interactive voice advertisement is selected from one or more interactive voice advertisements sent by advertisers. The selected interactive voice advertisement includes a voice message and an application that dictates how the user can interact with the voice message. The voice message and the application of the selected voice interactive voice advertisement are sent to the receiving system. The receiving system sends the voice message to the user device and executes the application during a portion of the hold time.

Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.

Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.

Abstract: Signal detectors are described herein. By way of example, a system for detecting signals can include a microphone signal detector, a loudspeaker signal detector, a signal discriminator and a decision component. When the microphone signal detector detects the presence of a microphone signal, the loudspeaker signal detector detects the presence of a loudspeaker signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component can confirm the presence of doubletalk. When the microphone signal detector detects the presence of a microphone signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component confirms the presence of near-end signal.

Abstract: A regression-based residual echo suppression (RES) system and process for suppressing the portion of the microphone signal corresponding to a playback of a speaker audio signal that was not suppressed by an acoustic echo canceller (AEC). In general, a prescribed regression technique is used between a prescribed spectral attribute of multiple past and present, fixed-length, periods (e.g., frames) of the speaker signal and the same spectral attribute of a current period (e.g., frame) of the echo residual in the output of the AEC. This automatically takes into consideration the correlation between the time periods of the speaker signal. The parameters of the regression can be easily tracked using adaptive methods. Multiple applications of RES can be used to produce better results and this system and process can be applied to stereo-RES as well.

Abstract: Data clustering is performed by executing a spectral technique, embedded within a probabilistic technique. In one embodiment, the probabilistic technique is performed by a generative model, and the spectral technique is performed within the generative model. In another embodiment, the probabilistic technique is performed by an aspect model, and the spectral technique is performed within the aspect model.

Abstract: Methods, systems, and computer-readable media for identifying intentions related to a user's present intention are provided. The user's present intention may be determined by mapping the user's current actions to a present intent. A related intent may be determined using an intent chain. The intent chain may be generated by analyzing patterns of user activities and mapping the patterns of activities to the underlying intents.

Abstract: The claimed subject matter relates to a system and method that effectuates queryline tracking by constructing and utilizing incremental aspect models that employ probabilistic and/or spectral techniques to discover themes within documents delivered in a stream over time. The system and method upon discovery of a theme or enhancements to already induced or surfaced themes can generate a notification for propagation to a user via one or more user specified communications and/or computing modalities.

Abstract: Acoustic echo cancellation, residual echo suppression and sound-source localization/microphone array processes are combined in a two-way voice communication system that uses a microphone array to capture local speech. The processes can be configured according to various alternative architectures and enhancements made to the processes to avoid the adverse effects of non-linear operations in the residual echo suppression on the sound-source localization/microphone array process.

Abstract: A system that facilitates organization of emails comprises a clustering component that clusters a plurality of emails and creates topics for emails by assigning key phrases extracted from emails within one or more clusters. An organization component then utilizes the key phrases to organize documents. Furthermore, the organization component can comprise a probability component that determines a probability that a document belongs to a certain topic.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: A keyphrase extraction system and method are provided. The system and method can be employed to create an automatic summary of a subset of document(s). The system can automatically extract a list of keyword(s) that can operate on multiple documents, and across many different domains. The system is unsupervised and requires no prior learning. A term identifier identifies candidate terms (e.g., words and/or phrases) in the document subset which are used to form a document-term matrix. A probability computation component calculates probability values of: (1) the joint probability of a word (e.g., term) and a document, (2) the marginal probability of the word (e.g., term), and (3) the marginal probability of the document. Based on the probability values, a partial mutual information metric can be calculated for each candidate term. Based on the partial mutual information metric, one or more of the terms can be identified as summary keyphrases.