Yuan-Fang Wang

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To answer user queries efficiently, a stream management system must handle continuous, high-volume, possibly noisy, and time-varying data streams. One major research area in stream management seeks to allocate resources (such as network bandwidth and memory) to query plans, either to minimize resource usage under a precision requirement, or to maximize(More)
During the past few years several interesting applications of eigenspace representation of images have been proposed. These include face recognition, video coding, and pose estimation. However, the vision research community has largely overlooked parallel developments in signal processing and numerical linear algebra concerning efficient eigenspace updating(More)
In this paper, we present an efficient text categorization algorithm that generates bigrams selectively by looking for ones that have an especially good chance of being useful. The algorithm uses the information gain metric, combined with various frequency thresholds. The bigrams, along with unigrams, are then given as features to two different classifiers:(More)
We present a new method for conducting protein structure similarity searches, which improves on the accuracy, robustness, and efficiency of some existing techniques. Our method is grounded in the theory of differential geometry on 3D space curve matching. We generate shape signatures for proteins that are invariant (i.e., they are not affected by the(More)
We propose invariant formulations that can potentially be combined into a single system. In particular, we describe a framework for computing invariant features which are insensitive to rigid motion, a ne transform, changes of parameterization and scene illumination, perspective transform, and view point change. This is unlike most current research on image(More)
We consider the problem of similarity searches on protein databases based on both sequence and structure information simultaneously. Our program extracts feature vectors from both the sequence and structure components of the proteins. These feature vectors are then combined and indexed using a novel multi-dimensional index structure. For a given query, we(More)
We designed, synthesized, and identified UIC-94017 (TMC114), a novel nonpeptidic human immunodeficiency virus type 1 (HIV-1) protease inhibitor (PI) containing a 3(R),3a(S),6a(R)-bis-tetrahydrofuranylurethane (bis-THF) and a sulfonamide isostere which is extremely potent against laboratory HIV-1 strains and primary clinical isolates (50% inhibitory(More)
We present a framework for multi-camera video surveillance. The framework consists of three phases: <i>detection</i>, <i>representation</i>, and <i>recognition</i>. The <i>detection</i> phase handles multi-source spatio-temporal data fusion for efficiently and reliably extracting motion trajectories from video. The <i>representation</i> phase summarizes raw(More)
Molecules interact through their surface residues. Calculation of the molecular surface of a protein structure is thus an important step for a detailed functional analysis. One of the main considerations in comparing existing methods for molecular surface computations is their speed. Most of the methods that produce satisfying results for small molecules(More)
This paper presents our research at bringing the state-of-the-art in vision and robotics technologies to enhance the emerging laparoscopic surgical procedure (Figure 1). In particular, a framework utilizing intelligent visual modeling, recognition, and servoing capabilities for assisting the surgeon in maneuvering the scope (camera) in laparoscopy is(More)