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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 4 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
JCP
2008
167views more  JCP 2008»
15 years 4 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
IMCSIT
2010
15 years 2 months ago
A Breast Cancer Classifier based on a Combination of Case-Based Reasoning and Ontology Approach
Breast cancer is the second most common form of cancer amongst females and also the fifth most cause of cancer deaths worldwide. In case of this particular type of malignancy, earl...
Essam AbdRabou, Abdel-Badeeh Salem
CVPR
2005
IEEE
16 years 6 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
CHI
2006
ACM
16 years 5 months ago
Being watched or being special: how I learned to stop worrying and love being monitored, surveilled, and assessed
This paper explores the relationship between display of feedback (public vs. private) by a computer system and the basis for evaluation (present vs. absent) of that feedback. We e...
Erica Robles, Abhay Sukumaran, Kathryn Rickertsen,...