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JEI
2000
133views more  JEI 2000»
15 years 6 months ago
Low complexity block motion estimation using morphological-based feature extraction and XOR operations
Motion estimation is a temporal image compression technique, where an n x n block of pixels in the current frame of a video sequence is represented by a motion vector with respect...
Thinh M. Le, R. Mason, Sethuraman Panchanathan
DAGM
2011
Springer
14 years 6 months ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...
JMLR
2010
130views more  JMLR 2010»
15 years 1 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
JMLR
2010
108views more  JMLR 2010»
15 years 1 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
ICASSP
2011
IEEE
14 years 10 months ago
Multistream speaker diarization through Information Bottleneck system outputs combination
Speaker diarization of meetings recorded with Multiple Distant Microphones makes extensive use of multiple feature streams like MFCC and Time Delay of Arrivals (TDOA). Typically t...
Deepu Vijayasenan, Fabio Valente, Petr Motlí...