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» Support Vector Machines for 3D Object Recognition
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IJMMS
2008
153views more  IJMMS 2008»
14 years 12 months ago
Physiology-based affect recognition for computer-assisted intervention of children with Autism Spectrum Disorder
Generally, an experienced therapist continuously monitors the affective cues of the children with Autism Spectrum Disorders (ASD) and adjusts the course of the intervention accord...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
112
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JCP
2008
167views more  JCP 2008»
14 years 11 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
14 years 11 months ago
Profile-based direct kernels for remote homology detection and fold recognition
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
Huzefa Rangwala, George Karypis
ICMCS
2005
IEEE
284views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Conditionally Positive Definite Kernels for SVM Based Image Recognition
Kernel based methods such as Support Vector Machine (SVM) have provided successful tools for solving many recognition problems. One of the reason of this success is the use of ker...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
BICOB
2010
Springer
14 years 10 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala