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» Evaluating learning algorithms and classifiers
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WIOPT
2005
IEEE
15 years 9 months ago
NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routing ALgorithm (NEURAL). NEURAL has been designed taking into account the learning...
Vicente E. Mujica V, Dorgham Sisalem, Radu Popescu...
122
Voted
CVPR
2010
IEEE
15 years 8 months ago
Taxonomic Classification for Web-based Videos
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of vi...
Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu
IPPS
1999
IEEE
15 years 8 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
COST
2009
Springer
172views Multimedia» more  COST 2009»
15 years 2 months ago
Facial Expression Recognition Using Two-Class Discriminant Features
This paper presents a novel facial expression recognition methodology. In order to classify the expression of a test face to one of seven pre-determined facial expression classes, ...
Marios Kyperountas, Ioannis Pitas
JMLR
2008
100views more  JMLR 2008»
15 years 4 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori