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» Incremental Training of Multiclass Support Vector Machines
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171
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ICCV
2011
IEEE
14 years 3 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
DEXA
2010
Springer
177views Database» more  DEXA 2010»
15 years 4 months ago
Enhanced Foundry Production Control
Mechanical properties are the attributes that measure the faculty of a metal to withstand several loads and tensions. Specifically, ultimate tensile strength is the force a materia...
Javier Nieves, Igor Santos, Yoseba K. Penya, Felix...
158
Voted
CVPR
2010
IEEE
15 years 3 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
129
Voted
DMKD
2003
ACM
110views Data Mining» more  DMKD 2003»
15 years 9 months ago
Weave amino acid sequences for protein secondary structure prediction
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
Xiaochun Yang, Bin Wang
134
Voted
SIGIR
2004
ACM
15 years 9 months ago
Language-specific models in multilingual topic tracking
Topic tracking is complicated when the stories in the stream occur in multiple languages. Typically, researchers have trained only English topic models because the training storie...
Leah S. Larkey, Fangfang Feng, Margaret E. Connell...