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142
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ICDAR
2011
IEEE
14 years 4 days ago
Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators
—A vast number of historical and badly degraded document images can be found in libraries, public, and national archives. Due to the complex nature of different artifacts, such p...
T. Hoang Ngan Le, Tien D. Bui, Ching Y. Suen
107
Voted
ICIP
2008
IEEE
16 years 2 months ago
Cross-domain learning methods for high-level visual concept classification
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
Wei Jiang, Eric Zavesky, Shih-Fu Chang, Alexander ...
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 1 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 28 days ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
114
Voted
PERCOM
2006
ACM
16 years 3 days ago
Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
A smart home aims at building intelligence automation with a goal to provide its inhabitants with maximum possible comfort, minimize the resource consumption and thus overall cost...
Nirmalya Roy, Abhishek Roy, Sajal K. Das