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» Estimating Likelihoods for Topic Models
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82
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NIPS
2007
15 years 2 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
109
Voted
ICC
1997
IEEE
108views Communications» more  ICC 1997»
15 years 4 months ago
MLSE Receiver for the Dispersive Rayleigh Fading Channel
: A maximum likelihood sequence estimator for the dispersive Rayleigh fading channel is developed. Following [1, 2], the MLSE uses a Kalman based channel estimator to acquire the c...
Wing Seng Leon, Desmond P. Taylor
119
Voted
TASLP
2010
134views more  TASLP 2010»
14 years 7 months ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang
97
Voted
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 1 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
138
Voted
BMVC
2002
15 years 3 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...