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ICDAR
2009
IEEE
15 years 4 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
288
Voted
AR
2011
15 years 1 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
ICCV
2011
IEEE
14 years 8 months ago
Segmentation as Selective Search for Object Recognition
Software available at http://disi.unitn.it/~uijlings or http://koen.me/research/ For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
K van de Sande, J Uijlings, T Gevers, A Smeulders
ICPR
2002
IEEE
16 years 8 months ago
On the Performance of Wavelets for Handwritten Numerals Recognition
This paper validates a recognition system using bidimensional wavelet transforms as feature extractor and investigates the relevance of each subband image in the recognition proce...
João Marques de Carvalho, Robert Sabourin, ...
IROS
2009
IEEE
148views Robotics» more  IROS 2009»
16 years 1 months ago
Cue-based equivalence classes and incremental discrimination for multi-cue recognition of "interactionable" objects
— There is a subset of objects for which interaction can provide numerous cues to those objects’ identity. Robots are often in situations where they can take advantage being ab...
Sarah Aboutalib, Manuela M. Veloso