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» Kernel Methods for Pattern Analysis
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83
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BIOSYSTEMS
2008
84views more  BIOSYSTEMS 2008»
15 years 18 days ago
Decoding spike timing: The differential reverse-correlation method
It is widely acknowledged that detailed timing of action potentials is used to encode information, for example, in auditory pathways; however, the computational tools required to ...
Gasper Tkacik, Marcelo O. Magnasco
76
Voted
ICPR
2008
IEEE
16 years 1 months ago
Recovering audio-to-video synchronization by audiovisual correlation analysis
Audio-to-video synchronization (AV-sync) may drift and is difficult to recover without dedicated human effort. In this work, we develop an interactive method to recover the drifte...
Yoichi Sato, Yuyu Liu
NIPS
2008
15 years 1 months ago
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
100
Voted
JIIS
2006
73views more  JIIS 2006»
15 years 13 days ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor
133
Voted
ECCV
2010
Springer
15 years 5 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov