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16 years 4 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
101
Voted
CIKM
2005
Springer
15 years 3 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
COMSWARE
2006
IEEE
15 years 3 months ago
Exploiting multi-channel clustering for power efficiency in sensor networks
Sensor networks typically comprise of a number of inexpensive small devices with processing, communication and sensing abilities that collaborate to perform a common task. Sensor d...
Ashima Gupta, Chao Gui, Prasant Mohapatra
80
Voted
VLSID
2008
IEEE
122views VLSI» more  VLSID 2008»
15 years 10 months ago
A Module Checking Based Converter Synthesis Approach for SoCs
Protocol conversion involves the use of a converter to control communication between two or more protocols such that desired system-level specifications can be satisfied. We invest...
Roopak Sinha, Partha S. Roop, Samik Basu
FLAIRS
2007
14 years 12 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli