405 citations · 2.3k across the 116 of their papers we have counts for
9 papers · 1 filter
SLADE: A Self-Training Framework For Distance Metric Learning
Jiali Duan, Yen-Liang Lin, Son Tran +2
Most existing distance metric learning approaches use fully labeled data to learn the sample similarities in an embedding space. We present a self-training framework, SLADE, to imp…
Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
Ruiyuan Lin, Suya You, Raghuveer Rao +1
The construction of a multilayer perceptron (MLP) as a piecewise low-order polynomial approximator using a signal processing approach is presented in this work. The constructed MLP…
Noise-Aware Texture-Preserving Low-Light Enhancement
Zohreh Azizi, Xuejing Lei, C. -C Jay Kuo
A simple and effective low-light image enhancement method based on a noise-aware texture-preserving retinex model is proposed in this work. The new method, called NATLE, attempts t…
Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition
Shuiyang Mao, P. C. Ching, C. -C. Jay Kuo +1
Categorical speech emotion recognition is typically performed as a sequence-to-label problem, i.e., to determine the discrete emotion label of the input utterance as a whole. One o…
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method
Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge +3
A light-weight low-resolution face gender classification method, called FaceHop, is proposed in this research. We have witnessed rapid progress in face gender classification accura…
Efficient Sentence Embedding via Semantic Subspace Analysis
Bin Wang, Fenxiao Chen, Yuncheng Wang +1
A novel sentence embedding method built upon semantic subspace analysis, called semantic subspace sentence embedding (S3E), is proposed in this work. Given the fact that word embed…