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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 8 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
NIPS
2007
13 years 9 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
ICIP
2002
IEEE
14 years 9 months ago
Updating mixture of principal components for error concealment
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
Trista Pei-chun Chen, Tsuhan Chen
AAAI
2010
13 years 9 months ago
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
Michael Paul, Roxana Girju
ISMIR
2005
Springer
189views Music» more  ISMIR 2005»
14 years 1 months ago
Instrument Identification in Polyphonic Music: Feature Weighting with Mixed Sounds, Pitch-Dependent Timbre Modeling, and Use of
This paper addresses the problem of identifying musical instruments in polyphonic music. Musical instrument identification (MII) is an improtant task in music information retriev...
Tetsuro Kitahara, Masataka Goto, Kazunori Komatani...