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» Cokriging for spatial functional data
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NIPS
2003
15 years 2 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
BMCBI
2008
134views more  BMCBI 2008»
15 years 1 months ago
Prediction of protein-protein binding site by using core interface residue and support vector machine
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
Nan Li, Zhonghua Sun, Fan Jiang
BMCBI
2004
120views more  BMCBI 2004»
15 years 1 months ago
pdb-care (PDB CArbohydrate REsidue check): a program to support annotation of complex carbohydrate structures in PDB files
Background: Carbohydrates are involved in a variety of fundamental biological processes and pathological situations. They therefore have a large pharmaceutical and diagnostic pote...
Thomas Lütteke, Claus-Wilhelm von der Lieth
TCSV
2011
14 years 8 months ago
Perceptual Quality Assessment of Video Considering Both Frame Rate and Quantization Artifacts
In this paper, we explore the impact of frame rate and quantization on perceptual quality of a video. We propose to use the product of a spatial quality factor that assesses the q...
Yen-Fu Ou, Zhan Ma, Tao Liu, Yao Wang
CVPR
2011
IEEE
14 years 5 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh