2 citations · 2 across the 6 of their papers we have counts for
6 papers
Meta Sparse Principal Component Analysis
Imon Banerjee, Jean Honorio
We study the meta-learning for support (i.e. the set of non-zero entries) recovery in high-dimensional Principal Component Analysis. We reduce the sufficient sample complexity in a…
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics
Xiaoyuan Guo, Jiali Duan, C. -C. Jay Kuo +2
Language modality within the vision language pretraining framework is innately discretized, endowing each word in the language vocabulary a semantic meaning. In contrast, visual mo…
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data
Shuja Khalid, Francisco Matos, Ayman Abunimer +6
30-day hospital readmission is a long standing medical problem that affects patients' morbidity and mortality and costs billions of dollars annually. Recently, machine learning mod…
MedShift: identifying shift data for medical dataset curation
Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi +2
To curate a high-quality dataset, identifying data variance between the internal and external sources is a fundamental and crucial step. However, methods to detect shift or varianc…
An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis
Imon Banerjee, Arindam Sanyal
Images typically are represented as uniformly sampled data in the form of matrix of pixels/voxels. Therefore, matrix multiply-and-accumulate (MAC) forms the core of most state-of-t…
Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment
Imon Banerjee, Lewis Hahn, Geoffrey Sonn +2
We propose an automated method for detecting aggressive prostate cancer(CaP) (Gleason score >=7) based on a comprehensive analysis of the lesion and the surrounding normal prostate…