A major challenge for genomewide disease association studies is the high cost of genotyping large number of single nucleotide polymorphisms (SNP). The correlations between SNPs, h...
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
Segmenting meshes into natural regions is useful for model understanding
and many practical applications. In this paper, we present
a novel, automatic algorithm for segmenting me...
Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Ralph R. Mar...