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ICDAR
2007
IEEE
16 years 8 days ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
CORR
2010
Springer
82views Education» more  CORR 2010»
15 years 3 months ago
Computing (or not) Quasi-Periodicity Functions of Tilings
Abstract. We know that tilesets that can tile the plane always admit a quasiperiodic tiling [4, 8], yet they hold many uncomputable properties [3, 11, 21, 25]. The quasi-periodicit...
Alexis Ballier, Emmanuel Jeandel
NOCS
2007
IEEE
16 years 7 days ago
Implementing DSP Algorithms with On-Chip Networks
Many DSP algorithms are very computationally intensive. They are typically implemented using an ensemble of processing elements (PEs) operating in parallel. The results from PEs n...
Xiang Wu, Tamer Ragheb, Adnan Aziz, Yehia Massoud
COR
2008
128views more  COR 2008»
15 years 6 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales
NIPS
1994
15 years 7 months ago
Factorial Learning and the EM Algorithm
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
Zoubin Ghahramani