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» On Feature Extraction via Kernels
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ICIP
2009
IEEE
14 years 11 months ago
Unsupervised Seabed Segmentation Of Synthetic Aperture Sonar Imagery Via Wavelet Features And Spectral Clustering
An unsupervised seabed segmentation algorithm for synthetic aperture sonar (SAS) imagery is proposed. Each 2 m ? 2 m area of seabed is treated as a unique data point. A set of fea...
NIPS
2000
13 years 11 months ago
Kernel Expansions with Unlabeled Examples
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
Martin Szummer, Tommi Jaakkola
BMVC
2010
13 years 8 months ago
Skeleton Extraction via Anisotropic Heat Flow
We introduce a novel skeleton extraction algorithm in binary and gray-scale images, based on the anisotropic heat diffusion analogy. We propose to diffuse image in the dominance o...
Cem Direkoglu, Rozenn Dahyot, Michael Manzke
ICCV
2011
IEEE
12 years 10 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
ICPR
2010
IEEE
14 years 3 months ago
3D Model Comparison through Kernel Density Matching
A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities ...
Yiming Wang, Tong Lu, Rongjun Gao, Wenyin Liu