Publications

Normalized cuts and image segmentation

We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach...

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Mastering the game of Go with deep neural networks and tree search

The European Organization for Research and Treatment of Cancer QLQ-C30: A Quality-of-Life Instrument for Use in International Clinical Trials in Oncology

These results support the EORTC QLQ-C30 as a reliable and valid measure of the quality of life of cancer patients in multicultural clinical research settings. Work is ongoing to...

Initial conditions and moment restrictions in dynamic panel data models

In this paper we consider estimation of the autoregressive error components model. When the autoregressive parameter is moderately large and the number of time series observatio...

Advances in prospect theory: Cumulative representation of uncertainty

Toward a knowledge‐based theory of the firm

Abstract Given assumptions about the characteristics of knowledge and the knowledge requirements of production, the firm is conceptualized as an institution for integrating know...

UCHIME improves sensitivity and speed of chimera detection

Abstract Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Interna...

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonp...

Tissue-based map of the human proteome

Protein expression across human tissues Sequencing the human genome gave new insights into human biology and disease. However, the ultimate goal is to understand the dynamic exp...

A new optimizer using particle swarm theory

The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently develope...

Pyramid Scene Parsing Network

Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-base...