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SIGIR
2006
ACM
16 years 17 days ago
Latent semantic analysis for multiple-type interrelated data objects
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang...
KBSE
2005
IEEE
16 years 5 days ago
Identifying traits with formal concept analysis
Traits are basically mixins or interfaces but with method bodies. In languages that support traits, classes are composed out of traits. There are two main advantages with traits. ...
Adrian Lienhard, Stéphane Ducasse, Gabriela...
SIGIR
2002
ACM
15 years 6 months ago
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
Leah S. Larkey, Lisa Ballesteros, Margaret E. Conn...
VLSISP
1998
140views more  VLSISP 1998»
15 years 6 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
NAR
2007
128views more  NAR 2007»
15 years 6 months ago
Berkeley Phylogenomics Group web servers: resources for structural phylogenomic analysis
Phylogenomic analysis addresses the limitations of function prediction based on annotation transfer, and has been shown to enable the highest accuracy in prediction of protein mol...
Jake Gunn Glanville, Dan Kirshner, Nandini Krishna...