BACKGROUND AND STUDY AIMS  Adenoma detection rate (ADR) is an important measure of colonoscopy quality, as are polyp, advanced ADR, and adenocarcinoma detection rates. We investigated whether performance report cards improved these outcome measures. PATIENTS AND METHODS  Endoscopists were given report cards comparing their detection rates to the institutional mean on an annual basis. Detectio...

Cascades help make sliding window object detection fast, nevertheless, computational demands remain prohibitive for numerous applications. Currently, evaluation of adjacent windows proceeds independently; this is suboptimal as detector responses at nearby locations and scales are correlated. We propose to exploit these correlations by tightly coupling detector evaluation of nearby windows. We i...

We investigate high rate quantization for various detection and reconstruction loss criteria. A new distortion measure is introduced which accounts for global loss in best attainable binary hypothesis testing performance. The distortion criterion is related to the area under the receiver-operating-characteristic (ROC) curve. Speci cally, motivated by Sanov's theorem, we de ne a performance curv...

The LISA space mission, designed to monitor low frequency gravitational waves, is also sensitive to passages of asteroids nearby one of its three spacecrafts. We report the expected rate of detections of asteroid passages, using the known catalog of asteroids and a modeled population. The method adopted consists of determining for each known asteroid the critical encounter distance capable of p...

A method of generating a video rate edge maps and thereby segmenting an image into regions based on the Kolmogorov Smirnov test is presented By applying this test and comparing cumulative distribution functions of the intensities in the neighbourhood of a given pixel the pixel can be accurately classi ed as either an edge pixel on the boundary between regions or as a pixel belonging to a partic...

We present a new feature-based method for estimating the speaking rate by detecting vowels in continuous speech. The features used are the modified loudness and the zerocrossing rate which are both calculated in the standard preprocessing unit of our speech recognition system. As vowels in general correspond to syllable nuclei, the feature-based vowel rate is comparable to an estimate of the le...

We present a new feature-based method for estimating the speaking rate by detecting vowels in continuous speech. The features used are the modified loudness and the zerocrossing rate which are both calculated in the standard preprocessing unit of our speech recognition system. As vowels in general correspond to syllable nuclei, the feature-based vowel rate is comparable to an estimate of the le...

A method of generating a video rate edge maps, and thereby segmenting an image into regions based on the Kolmogorov-Smirnov test is presented. By applying this test and comparing cumulative distribution functions of the intensities in the neighbourhood of a given pixel, the pixel can be accurately classi ed as either an edge pixel on the boundary between regions, or as a pixel belonging to a pa...

The electrocardiogram (ECG) is a well known method that can be used to measure Heart Rate Variability (HRV). This paper describes a procedure for processing electrocardiogram signals (ECG) to detect Heart Rate Variability (HRV). In recent years, there have been wide-ranging studies on Heart rate variability in ECG signals and analysis of Respiratory Sinus Arrhythmia (RSA). Normally the Heart ra...

Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are properly captured. In this work, we empirically investigate how various anomaly detection schemes can serve to identify the conditions that precede failures in deployed software. Our results expose the tradeoffs between ...