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» On Spectral Learning of Mixtures of Distributions
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NIPS
2004
14 years 11 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ISAAC
2007
Springer
109views Algorithms» more  ISAAC 2007»
15 years 3 months ago
Separating Populations with Wide Data: A Spectral Analysis
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuh...
ICASSP
2011
IEEE
14 years 1 months ago
Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling
This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spe...
Katsutoshi Itoyama, Masataka Goto, Kazunori Komata...
EDUTAINMENT
2010
Springer
14 years 8 months ago
Spectrally-Based Single Image Relighting
Abstract. This paper presents a new spectrally-based single image relighting approach. We first compute the spectral radiance of each stimulus on the monitor when displaying the i...
Xiaoxiong Xing, Weiming Dong, Xiaopeng Zhang, Jean...
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
15 years 10 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler