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ICDAR
2011
IEEE
14 years 6 months ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
CORR
2012
Springer
214views Education» more  CORR 2012»
14 years 2 months ago
Sum-Product Networks: A New Deep Architecture
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
Hoifung Poon, Pedro Domingos
CVPR
2006
IEEE
16 years 9 months ago
Multi-Target Tracking - Linking Identities using Bayesian Network Inference
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
Peter Nillius, Josephine Sullivan, Stefan Carlsson
ICCV
1999
IEEE
16 years 9 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
ICML
2007
IEEE
16 years 8 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen