University of California

About: University of California is a education organization based out in Oakland, California, United States. It is known for research contribution in the topics: Population & Layer (electronics). The organization has 55175 authors who have published 52933 publications receiving 1491169 citations. The organization is also known as: UC & University of California System.

The sixth visual object tracking VOT2018 challenge results

Abstract: The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net).

Curiosity-driven Exploration by Self-supervised Prediction

Abstract: In many real-world scenarios, rewards extrinsic to the agent are extremely sparse, or absent altogether. In such cases, curiosity can serve as an intrinsic reward signal to enable the agent to explore its environment and learn skills that might be useful later in its life. We formulate curiosity as the error in an agent's ability to predict the consequence of its own actions in a visual feature space learned by a self-supervised inverse dynamics model. Our formulation scales to high-dimensional continuous state spaces like images, bypasses the difficulties of directly predicting pixels, and, critically, ignores the aspects of the environment that cannot affect the agent. The proposed approach is evaluated in two environments: VizDoom and Super Mario Bros. Three broad settings are investigated: 1) sparse extrinsic reward, where curiosity allows for far fewer interactions with the environment to reach the goal; 2) exploration with no extrinsic reward, where curiosity pushes the agent to explore more efficiently; and 3) generalization to unseen scenarios (e.g. new levels of the same game) where the knowledge gained from earlier experience helps the agent explore new places much faster than starting from scratch. Demo video and code available at this https URL

Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter

Abstract: This paper presents two types of nonlinear controllers for an autonomous quadrotor helicopter. One type, a feedback linearization controller involves high-order derivative terms and turns out to be quite sensitive to sensor noise as well as modeling uncertainty. The second type involves a new approach to an adaptive sliding mode controller using input augmentation in order to account for the underactuated property of the helicopter, sensor noise, and uncertainty without using control inputs of large magnitude. The sliding mode controller performs very well under noisy conditions, and adaptation can effectively estimate uncertainty such as ground effects.

Solid phase and combinatorial synthesis of benzodiazepine compounds on a solid support

Abstract: Methods, compositions, and devices for synthesis of therapeutically useful compounds. The invention provides a rapid approach for combinatorial synthesis and screening of libraries of derivatives of therapeutically important classes of compounds such as benzodiazepines, prostaglandins and β-turn mimetics. In order to expediently synthesize a combinatorial library of derivatives based upon these core structures, general methodology for the solid phase synthesis of these derivatives is also provided. This disclosure thus also describes an important extension of solid phase synthesis methods to nonpolymeric organic compounds.

Criminal Homicide as a Situated Transaction

Abstract: I will examine the organization and development of seventy transactions ending in murder. In all seventy cases, murder was the culmination of an interchange between an offender and victim, resembling what Goffman termed a “character contest,” a confrontation in which opponents sought to establish or maintain “face” at the other's expense by remaining steady in the face of adversity. The transaction took a sequential form: the victim issued what the offender deemed an offensive move; the offender typically retaliated with a verbal or physical challenge; a “working” agreement favoring the use of violence was forged with the victim's response; battle ensued leaving the victim dead or dying; the manner of the offender's exiting was shaped by his relationship to the victim and the moves of his audience.