Recent studies reveal the crucial role of local features in learning robust and discriminative representations for person re-identification (Re-ID). Existing approaches typically rely on external tasks, example, semantic segmentation, or pose estimation, to locate identifiable parts given images. However, they heuristically utilise predictions from off-the-shelf models, which may be sub-optimal...

Summary We study identification and estimation of causal effects in settings with panel data. Traditionally, researchers follow model-based strategies relying on assumptions governing the relation between potential outcomes observed unobserved confounders. focus a different, complementary approach to identification, where are made about connection treatment assignment Such common cross-section ...

Given measured data generated by a discrete-time linear system, we propose a model consisting of a linear time-invariant system affected by norm-bounded perturbation. Under mild assumptions, the plants belonging to the resulting uncertain family form a convex set. The approach depends on two key parameters: an a priori given bound of the perturbation and the input used to generate the data. It ...

objectives: to evaluate different signal-processing algorithms for tactile identification of environmental sounds in a monitoring aid for the deafblind. two men and three women, sensorineurally deaf or profoundly hearing impaired with experience of vibratory experiments, age 22-36 years. methods: a closed set of 45 representative environmental sounds were processed using two transposing (trha, ...

An adaptive online flux-linkage estimation method for the sensorless control of switched reluctance motor (SRM) drive is presented in this paper. Sensorless operation is achieved through a binary observer based algorithm. In order to avoid using the look up tables of motor characteristics, which makes the system, depends on motor parameters, an adaptive identification algorithm is used to estim...

anomaly recognition has always been a prominent subject in preliminary geochemical explorations. among the regional geochemical data processing, there are a range of statistical and data mining techniques as well as different mapping methods, which serve as presentations of the outputs. the outlier’s values are of interest in the investigations where data are gathered under controlled condition...