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EMNLP
2008
13 years 10 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
14 years 2 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...
ECCV
2004
Springer
14 years 10 months ago
Decision Theoretic Modeling of Human Facial Displays
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
Jesse Hoey, James J. Little
ICML
2000
IEEE
14 years 9 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
ACMSE
2011
ACM
12 years 8 months ago
Integrating digital logic design and assembly programming using FPGAs in the classroom
Rising Field Programmable Gate Array (FPGA) market volumes combined with increasing industrial popularity have driven prices down and improved capability to the point that FPGA ha...
William M. Jones, D. Brian Larkins