We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
In this paper, we propose and implement a vector processing system that includes two identical vector microprocessors embedded in two FPGA chips. Each vector microprocessor suppor...
Hongyan Yang, Shuai Wang, Sotirios G. Ziavras, Jie...
In this paper, we present a novel framework for analyzing video using self-similarity. Video scenes are located by analyzing inter-frame similarity matrices. The approach is flexi...