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ICASSP
2011
IEEE
14 years 6 months ago
Time-constrained sequential pattern discovery for music genre classification
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
Jia-Min Ren, Jyh-Shing Roger Jang
109
Voted
NIPS
2007
15 years 3 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
EMNLP
2010
15 years 9 days ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
UML
2005
Springer
15 years 7 months ago
Specifying Precise Use Cases with Use Case Charts
Use cases are a popular method for capturing and structuring software requirements. The informality of use cases is both a blessing and a curse. It enables easy application and lea...
Jon Whittle
133
Voted
CIKM
2008
Springer
15 years 4 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti