Publications

Decoding by Linear Programming

This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl isin/R/sup n/ from corrupted measurements y=Af+e....

Stable signal recovery from incomplete and inaccurate measurements

Abstract Suppose we wish to recover a vector x 0 ∈ ℝ 𝓂 (e.g., a digital signal or image) from incomplete and contaminated observations y = A x 0 + e ; A is an 𝓃 × 𝓂 matrix wi...

Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

Boosting is one of the most important recent developments in\nclassification methodology. Boosting works by sequentially applying a\nclassification algorithm to reweighted versi...

Cascade R-CNN: Delving Into High Quality Object Detection

In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usua...

Graph drawing by force‐directed placement

Abstract We present a modification of the spring‐embedder model of Eades [Congressus Numerantium, 42, 149–160, (1984)] for drawing undirected graphs with straight edges. Our heu...

Crystalline Ropes of Metallic Carbon Nanotubes

Fullerene single-wall nanotubes (SWNTs) were produced in yields of more than 70 percent by condensation of a laser-vaporized carbon-nickel-cobalt mixture at 1200°C. X-ray diffra...

Dimensionality reduction for visualizing single-cell data using UMAP

Classification and Diagnosis of Diabetes Mellitus and Other Categories of Glucose Intolerance

A classification of diabetes and other categories of glucose intolerance, based on contemporary knowledge of this heterogeneous syndrome, was developed by an international workg...

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Bounding box regression is the crucial step in object detection. In existing methods, while ℓn-norm loss is widely adopted for bounding box regression, it is not tailored to the...

Problem Behavior and Psychosocial Development: A Longitudinal Study of Youth

This study is the 2nd phase of a long-term program of research on problem behavior. The approach to theory testing involves a longitudinal design. The study plots trajectories...

Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable

Researchers typically analyze time-series-cross-section data with a binary dependent
\nvariable (BTSCS) using ordinary logit or probit. However, BTSCS observations are
\...

VIII. Stability of a viscous liquid contained between two rotating cylinders

In recent years much information has been accumulated about the flow of fluids past solid boundaries. All experiments so far carried out seem to indicate that in all cases stead...