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» Combinations of Weak Classifiers
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FGR
2004
IEEE
114views Biometrics» more  FGR 2004»
14 years 14 days ago
Combining Motion Segmentation with Tracking for Activity Analysis
We explore a novel motion feature as the appropriate basis for classifying or describing a number of fine motor human activities.Ourapproach not only estimates motion directions a...
Jiang Gao, Alexander G. Hauptmann, Howard D. Wactl...
FGR
2008
IEEE
180views Biometrics» more  FGR 2008»
13 years 9 months ago
Person-specific face recognition in unconstrained environments: a combination of offline and online learning
This paper studies face recognition and person-specific face image retrieval in unconstrained environments. The proposed method consists of two parts: offline and online learning....
Bangpeng Yao, Haizhou Ai, Shihong Lao
ICPR
2010
IEEE
13 years 6 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
EACL
2009
ACL Anthology
13 years 6 months ago
Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue
We explore the problem of resolving the second person English pronoun you in multi-party dialogue, using a combination of linguistic and visual features. First, we distinguish gen...
Matthew Frampton, Raquel Fernández, Patrick...
ICPR
2008
IEEE
14 years 10 months ago
Multi-class classification strategies for Fisher scores of gesture and sign sequences
In this work, we propose a multi-class classification strategy based on Fisher kernels. Fisher kernels combine the powers of discriminative and generative classifiers by mapping v...
Lale Akarun, Oya Aran