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» Grasp Recognition for Programming by Demonstration
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JMLR
2012
11 years 9 months ago
Bounding the Probability of Error for High Precision Optical Character Recognition
We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. L...
SIGCSE
2009
ACM
150views Education» more  SIGCSE 2009»
14 years 8 months ago
Dereferee: exploring pointer mismanagement in student code
Dynamic memory management and the use of pointers are critical topics in teaching the C++ language. They are also some of the most difficult for students to grasp properly. The re...
Anthony Allevato, Manuel A. Pérez-Qui&ntild...
PAMI
2012
11 years 9 months ago
Recursive Segmentation and Recognition Templates for Image Parsing
— Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchi...
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan...
ISER
2004
Springer
142views Robotics» more  ISER 2004»
14 years 21 days ago
Interactive Multi-Modal Robot Programming
As robots enter the human environment and come in contact with inexperienced users, they need to be able to interact with users in a multi-modal fashion—keyboard and mouse are n...
Soshi Iba, Christiaan J. J. Paredis, Pradeep K. Kh...
JMLR
2012
11 years 9 months ago
Multiresolution Deep Belief Networks
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
Yichuan Tang, Abdel-rahman Mohamed