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» Selecting relevant features for human motion recognition
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BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
14 years 2 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
ECCV
2004
Springer
14 years 9 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
PR
2007
205views more  PR 2007»
13 years 7 months ago
Active learning for image retrieval with Co-SVM
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
Jian Cheng, Kongqiao Wang
ICMCS
2006
IEEE
170views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Automatic Query Expansion for News Video Retrieval
In this paper, we present an integrated system for news video retrieval. The proposed system incorporates both speech and visual information in the search mechanisms. The initial ...
Yun Zhai, Jingen Liu, Mubarak Shah
ICPR
2010
IEEE
13 years 7 months ago
Concensus of Self-features for Nonverbal Behavior Analysis
Abstract. One of the key challenge in social behavior analysis is to automatically discover the subset of features relevant to a specific social signal (e.g., backchannel feedback...
Derya Ozkan, Louis-Philippe Morency