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IROS
2007
IEEE
158views Robotics» more  IROS 2007»
16 years 1 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
JMLR
2012
13 years 9 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
TIP
2008
125views more  TIP 2008»
15 years 6 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
BC
2000
86views more  BC 2000»
15 years 6 months ago
Self-organizing maps for visual feature representation based on natural binocular stimuli
We model the stimulus-induced development of the topography of the primary visual cortex. The analysis uses a self-organizing Kohonen model based on high-dimensional coding. It all...
Jan C. Wiemer, Thomas Burwick, Werner von Seelen
ICMI
2009
Springer
105views Biometrics» more  ICMI 2009»
16 years 1 months ago
Grounding spatial prepositions for video search
Spatial language video retrieval is an important real-world problem that forms a test bed for evaluating semantic structures for natural language descriptions of motion on natural...
Stefanie Tellex, Deb Roy