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JMLR
2010
206views more  JMLR 2010»
15 years 1 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
TSP
2010
15 years 1 months ago
Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers
Abstract--With increasing spatial reuse of radio spectrum, cochannel interference is becoming a dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Brian L. Evans, Jeffrey G. Andrews, ...
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
16 years 7 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
16 years 1 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...
CVPR
2009
IEEE
17 years 1 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...