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» Bagging in Computer Vision
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126
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BMVC
2000
15 years 5 months ago
Estimating Vision Parameters given Data with Covariances
A new parameter estimation method is presented, applicable to many computer vision problems. It operates under the assumption that the data (typically image point locations) are a...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...
137
Voted
ICWSM
2009
15 years 1 months ago
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Justin Martineau, Tim Finin
118
Voted
DGCI
2005
Springer
15 years 9 months ago
Increasing Interconnection Network Connectivity for Reducing Operator Complexity in Asynchronous Vision Systems
Due to the restriction of SIMD mode to local operations in VLSI massively parallel vision chips, using programmable connections and asynchronous communications are key ingredients ...
Valentin Gies, Thierry M. Bernard
130
Voted
ISWC
2000
IEEE
15 years 8 months ago
Improvement of Panorama-Based Annotation Overlay Using Omnidirectional Vision and Inertial Sensors
Annotation overlay o n live video frames is an essential feature of augmented reality (AR): and is a well-suited applicationfor wearable computers. A novel method of annotation ov...
Masakatsu Kourogi, Takeshi Kurata, Katsuhiko Sakau...
ICCV
2001
IEEE
16 years 5 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen