Paul viola microsoft

Publication number: Abstract: Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input like audio input and video input may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.

Type: Application. Filed: August 30, Publication date: December 22, Inventors: Cha Zhang, Paul A. Viola, Pei Yin, Ross G. Cutler, Xinding Sun, Yong Rui. Abstract: Computer-readable media, computer systems, and computing devices facilitate generating binary classifier and entity extractor training data.

Matching URLs in a data structure are identified and corresponding queries and their associated weights are added to a potential training data set from which training data is selected.

Filed: June 18, Image organization based on image content. Patent number: Abstract: A system for organizing images includes an extraction component that extracts visual information e. The extracted visual information is provided to a comparison component which computes similarity confidence data between the extracted visual information.

The similarity confidence data is an indication of the likelihood that items of extracted visual information are similar. The comparison component then generates a visual distribution of the extracted visual information based upon the similarity confidence data. The visual distribution can include groupings of the extracted visual information based on computed similarity confidence data.

For example, the visual distribution can be a two-dimensional layout of faces organized based on the computed similarity confidence data—with faces in closer proximity faces computed to have a greater probability of representing the same person. Type: Grant. Filed: March 15, Date of Patent: September 27, Assignee: Microsoft Corporation. Inventors: Gang Hua, Steven M.

Drucker, Michael Revow, Paul A. Viola, Richard Zemel. Identification of people using multiple types of input. Filed: June 22, Date of Patent: September 20, Multiple-instance pruning for learning efficient cascade detectors. Rejection thresholds are learned using a pruning process which ensures that objects detected by the original combination classifier are also detected by the combination classifier, thereby guaranteeing the same detection rate on the training set after pruning.

The only parameter required throughout training is a target detection rate for the final cascade system. Filed: July 13, Date of Patent: August 30, Inventors: Cha Zhang, Paul Viola. Recognition of mathematical expressions.

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