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ECCV
2006
Springer
15 years 1 days ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
ICML
2001
IEEE
14 years 11 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
13 years 12 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
NAACL
2010
13 years 8 months ago
Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment
The quality of a statistical machine translation (SMT) system is heavily dependent upon the amount of parallel sentences used in training. In recent years, there have been several...
Jason R. Smith, Chris Quirk, Kristina Toutanova
IROS
2009
IEEE
162views Robotics» more  IROS 2009»
14 years 4 months ago
Intelligent vehicle localization using GPS, compass, and machine vision
— Intelligent vehicles require accurate localization relative to a map to ensure safe travel. GPS sensors are among the most useful sensors for outdoor localization, but they sti...
Somphop Limsoonthrakul, Matthew N. Dailey, Manukid...