D. Golubkov1, R. Karabowicz2, I. Kisel∗2,3, I. Rostovtseva1, and Yu. Zaitsev1 1ITEP, Institute for Theoretical and Experimental Physics, Russia; 2GSI, Darmstadt, Germany; 3KIP, University of Heidelberg, Germany The cellular automaton (CA) based track finder of the CBM experiment [1, 2] is a flexible algorithm operating on space-points which makes it maximally independent of the actual geometry ...

Time-series motifs are representative subsequences that occur frequently in a time series; a motif set is the set of subsequences deemed to be instances of a given motif. We focus on finding motif sets. Our motivation is to detect motif sets in household electricity-usage profiles, representing repeated patterns of household usage. We propose three algorithms for finding motif sets. Two are gre...

Overexpression of key genes is a basic strategy for overproducing target products via metabolic engineering. Traditionally, identifying those key genes/pathways largely relies on the knowledge of biochemistry and bioinformatics. In this study, a modeling tool named UP Finder was developed to facilitate the rapid identification of gene overexpression strategies. It was based on the COBRA toolbox...

Fair discriminative pedestrian finders are now available. In fact, these pedestrian finders make most errors on pedestrians in configurations that are uncommon in the training data, for example, mounting a bicycle. This is undesirable. However, the human configuration can itself be estimated discriminatively using structure learning. We demonstrate a pedestrian finder which first finds the most...

One of the problems of autonomous mobile systems is the continuous tracking of position and orientation. In most cases, this problem is solved by dead reckoning, based on measurement of wheel rotations or step counts and step width. Unfortunately dead reckoning leads to accumulation of drift errors and is very sensitive against slippery. In this paper an algorithm for tracking position and orie...

Morphological segmentation of words is a subproblem of many natural language tasks, including handling out-of-vocabulary (OOV) words in machine translation, more effective information retrieval, and computer assisted vocabulary learning. Previous work typically relies on extensive statistical and semantic analyses to induce legitimate stems and affixes. We introduce a new learning based method ...

Identifying an entanglement island requires exquisite control over the entropy of quantum fields, which is available only in toy models. Here we present a set sufficient conditions that guarantee existence and place upper bound on computed by rule. This enough to derive main features Page curve for evaporating black hole any spacetime dimension. Our argument makes use Wall's maximin formulation...

In this paper we consider a t ime offl ight range finder which greatly reduces the correspondence and disparity problems associated with stereo ranging techniques. W e present a model for an optical range finder which is capable of detecting untrustworthy range data which results when the optical beam is split between objects of differing range and/or surface reflectivity. W e demonstrate a det...