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» Kernels for Global Constraints
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ICONIP
1998
13 years 10 months ago
A Web Oriented Recurrent Neural Network Simulator
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
Romuald Boné, Michel Crucianu, Pascal Makri...
IJCV
2008
266views more  IJCV 2008»
13 years 9 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
JMLR
2010
119views more  JMLR 2010»
13 years 4 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
PAMI
2012
11 years 11 months ago
Aggregating Local Image Descriptors into Compact Codes
— This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present...
Hervé Jégou, Florent Perronnin, Matt...
CORR
2011
Springer
220views Education» more  CORR 2011»
13 years 4 months ago
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (glo...
Thomas Schoenemann, Simon Masnou, Daniel Cremers