Publications

Object recognition from local scale-invariant features

An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partia...

Sensemaking in Organizations

The Nature of Sensemaking Seven Properties of Sensemaking Sensemaking in Organizations Occasions for Sensemaking The Substance of Sensemaking Belief-Driven Processes of Sensemak...

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...

Community structure in social and biological networks

A number of recent studies have focused on the statistical properties of networked systems such as social networks and the Worldwide Web. Researchers have concentrated particula...

Nonlinear total variation based noise removal algorithms

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...

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...

Nearest neighbor pattern classification

The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent o...

Competitive Advantage: Creating and Sustaining Superior Performance

COMPETITIVE ADVANTAGE introduces a whole new way of understanding what a firm does. Porter's groundbreaking concept of the value chain disaggregates a company into 'activities',...

Nonlinear Dimensionality Reduction by Locally Linear Embedding

Many areas of science depend on exploratory data analysis and visualization. The need to analyze large amounts of multivariate data raises the fundamental problem of dimensional...

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...