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» The Method of Quantum Clustering
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NIPS
2008
15 years 8 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 8 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
166
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ICASSP
2010
IEEE
15 years 6 months ago
Song-level multi-pitch tracking by heavily constrained clustering
Given a set of monophonic, harmonic sound sources (e.g. human voices or wind instruments), multi-pitch estimation (MPE) is the task of determining the instantaneous pitches of eac...
Zhiyao Duan, Jinyu Han, Bryan Pardo
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 5 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
ITIIS
2010
151views more  ITIIS 2010»
15 years 5 months ago
Practical Data Transmission in Cluster-Based Sensor Networks
Data routing in wireless sensor networks must be energy-efficient because tiny sensor nodes have limited power. A cluster-based hierarchical routing is known to be more efficient ...
Dae Young Kim, Jinsung Cho, Byeong-Soo Jeong