https://cis.temple.edu/~latecki/Papers/DSP_PAMI2014.pdf
Abstract—In this paper, we present a novel partition framework, called dense subgraph partition (DSP), to automatically, precisely and efficiently decompose a positive hypergraph into dense subgraphs. A positive hypergraph is a graph or hypergraph whose edges, except self-loops, have positive weights. We first define the concepts of core subgraph, conditional core subgraph, and disjoint ...
https://cis.temple.edu/~pwang/Publication/AI_Misconceptions.pdf
In the discussions on the limitation of Artificial Intelligence (AI), there are three major misconceptions, which identify an AI system with an ax-iomatic system, a Turing machine, and a system with a model-theoretic se-mantics, respectively. Though these three notions can be used to describe a computer system for certain purposes, they are not always the proper theoretical notions when an AI ...
https://cis.temple.edu/~latecki/Papers/OSB_ICDM07.pdf
The proposed OSB computes the distance value between two sequences based directly on the distances of corre-sponding elements, just as DTW does, and it allows the ignoring of outlier points on both the query and target se-quences to find the best match, just as LCSS does. The main difference between DTW and OSB is that, unlike DTW, OSB can skip outlier elements of the query and target se ...
https://cis.temple.edu/~latecki/Papers/cvpr00.pdf
Abstract The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard gave a unique oppor-tunity to compare various shape descriptors for non-rigid shapes with a single closed contour. There are two main dif-ferences with respect to other comparison results reported in the literature: (1) For each shape descriptor, the exper-iments were carried out by an institute ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf
TileSR: Accelerate On-Device Super-Resolution with Parallel Ofloading in Tile Granularity Ning Chen1, Sheng Zhang1∗, Yu Liang2, Jie Wu3, Yu Chen1, Yuting Yan1, Zhuzhong Qian1 and Sanglu Lu1
https://cis.temple.edu/~yu/research/Icanhearyou-INFOCOM2023.pdf
Abstract—Recent literature advances motion sensors mounted on smartphones and AR/VR headsets to speech eavesdropping due to their sensitivity to subtle vibrations. The popularity of mo-tion sensors in earphones has fueled a rise in their sampling rate, which enables various enhanced features. This paper investigates a new threat of eavesdropping via motion sensors of earphones by developing ...