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ENGL
2007
180views more  ENGL 2007»
14 years 9 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
HVEI
2009
14 years 7 months ago
Sign language perception research for improving automatic sign language recognition
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can gi...
Gineke A. ten Holt, Jeroen Arendsen, Huib de Ridde...
SIGIR
2012
ACM
13 years 3 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
15 years 11 months ago
Direct Discriminative Pattern Mining for Effective Classification
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
CHI
2008
ACM
15 years 10 months ago
Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces
We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE...
Krzysztof Z. Gajos, Jacob O. Wobbrock, Daniel S. W...