80 citations · 81 across the 5 of their papers we have counts for
5 papers
An Efficient Dual Approach to Distance Metric Learning
Chunhua Shen, Junae Kim, Fayao Liu +2
Distance metric learning is of fundamental interest in machine learning because the distance metric employed can significantly affect the performance of many learning methods. Quad…
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
Chunhua Shen, Junae Kim, Lei Wang +1
The success of many machine learning and pattern recognition methods relies heavily upon the identification of an appropriate distance metric on the input data. It is often benefic…
Scalable Large-Margin Mahalanobis Distance Metric Learning
Chunhua Shen, Junae Kim, Lei Wang
For many machine learning algorithms such as -Nearest Neighbor (-NN) classifiers and -means clustering, often their success heavily depends on the metric used to calcula…
Positive Semidefinite Metric Learning with Boosting
Chunhua Shen, Junae Kim, Lei Wang +1
The learning of appropriate distance metrics is a critical problem in image classification and retrieval. In this work, we propose a boosting-based technique, termed \BoostMetric,…
Generalized Kernel-based Visual Tracking
Chunhua Shen, Junae Kim, Hanzi Wang
In this work we generalize the plain MS trackers and attempt to overcome standard mean shift trackers' two limitations. It is well known that modeling and maintaining a representat…