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» The Convergence of Iterated Classification
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PAMI
2007
253views more  PAMI 2007»
15 years 5 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 4 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
JMLR
2006
79views more  JMLR 2006»
15 years 6 months ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu
INFOCOM
2007
IEEE
16 years 9 days ago
Iterative Scheduling Algorithms
— The input-queued switch architecture is widely used in Internet routers due to its ability to run at very high line speeds. A central problem in designing an input-queued switc...
Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Ma...
PE
2010
Springer
102views Optimization» more  PE 2010»
15 years 4 months ago
Extracting state-based performance metrics using asynchronous iterative techniques
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
Douglas V. de Jager, Jeremy T. Bradley