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» The Kernel Least-Mean-Square Algorithm
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139
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BMCBI
2010
190views more  BMCBI 2010»
15 years 3 months ago
A parallel and incremental algorithm for efficient unique signature discovery on DNA databases
Background: DNA signatures are distinct short nucleotide sequences that provide valuable information that is used for various purposes, such as the design of Polymerase Chain Reac...
Hsiao Ping Lee, Tzu-Fang Sheu, Chuan Yi Tang
CVPR
2007
IEEE
16 years 5 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
104
Voted
CVPR
2008
IEEE
16 years 5 months ago
Enforcing non-positive weights for stable support vector tracking
In this paper we demonstrate that the support vector tracking (SVT) framework first proposed by Avidan is equivalent to the canonical Lucas-Kanade (LK) algorithm with a weighted E...
Simon Lucey
125
Voted
ICML
2004
IEEE
16 years 4 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
PPOPP
2009
ACM
16 years 4 months ago
Comparability graph coloring for optimizing utilization of stream register files in stream processors
A stream processor executes an application that has been decomposed into a sequence of kernels that operate on streams of data elements. During the execution of a kernel, all stre...
Xuejun Yang, Li Wang, Jingling Xue, Yu Deng, Ying ...