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» On the Relative Hardness of Clustering Corpora
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ICASSP
2008
IEEE
14 years 1 months ago
Optimizing the acoustic modeling from an unbalanced bi-lingual corpus
Phoneme set clustering of accurate modeling is important in the task of multilingual speech recognition, especially when each of the available language training corpora is mismatc...
Dau-cheng Lyu, Ren-yuan Lyu
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
13 years 8 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
ACL
2008
13 years 8 months ago
Choosing Sense Distinctions for WSD: Psycholinguistic Evidence
Supervised word sense disambiguation requires training corpora that have been tagged with word senses, which begs the question of which word senses to tag with. The default choice...
Susan Windisch Brown
AAAI
2010
13 years 4 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
LCN
2008
IEEE
14 years 1 months ago
Optimal distance-based clustering for tag anti-collision in RFID systems
—Tag collisions can impose a major delay in Radio Frequency IDentification (RFID) systems. Such collisions are hard to overcome with passive tags due to their limited capabiliti...
Waleed Alsalih, Kashif Ali, Hossam S. Hassanein