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» Quality Metrics in Learning Objects
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ECCV
2010
Springer
14 years 24 days ago
Discriminative Tracking by Metric Learning
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...
ARVLSI
2001
IEEE
267views VLSI» more  ARVLSI 2001»
14 years 10 days ago
Focal-Plane Image and Beam Quality Sensors for Adaptive Optics
Control of adaptive optical elements for real-time wavefront phase distortion compensation is a rapidly growing field of research and technology development. Wavefront correction ...
Marc Cohen, Gert Cauwenberghs, Mikhail Vorontsov, ...
CVPR
2006
IEEE
14 years 2 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
AC
2002
Springer
13 years 8 months ago
Empirical Studies of Quality Models in Object-Oriented Systems
Measuring structural design properties of a software system, such as coupling, cohesion, or complexity, is a promising approach towards early quality assessments. To use such meas...
Lionel C. Briand, Jürgen Wüst
CVPR
2009
IEEE
15 years 3 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...