arxiv.org/abs/2302.10668v2
Reconstructing the 3D shape of an object from a single RGB image is a long-standing and highly challenging problem in computer vision. In this paper, we propose a novel method for single-image 3D reconstruction which generates a sparse point cloud vi...
arxiv.org/abs/2412.05940v1
This paper explores the digital modeling and robotic reproduction of traditional Chinese medicine (TCM) massage techniques. We adopt an adaptive admittance control algorithm to optimize force and position control, ensuring safety and comfort. The pap...
arxiv.org/abs/2302.13710v1
Dynamic optimization of mean and variance in Markov decision processes (MDPs) is a long-standing challenge caused by the failure of dynamic programming. In this paper, we propose a new approach to find the globally optimal policy for combined metrics...
arxiv.org/abs/2211.11030v4
Adversarial attacks in reinforcement learning (RL) often assume highly-privileged access to the victim's parameters, environment, or data. Instead, this paper proposes a novel adversarial setting called a Cheap Talk MDP in which an Adversary can mere...
arxiv.org/abs/2302.03121v2
In this paper, we study the value distributions of perfect nonlinear functions, i.e., we investigate the sizes of image and preimage sets. Using purely combinatorial tools, we develop a framework that deals with perfect nonlinear functions in the mos...
arxiv.org/abs/1208.4380v3
This paper presents a new global patent map that represents all technological categories, and a method to locate patent data of individual organizations and technological fields on the global map. This overlay map technique may support competitive in...
arxiv.org/abs/1606.06452v1
The FPGA overlay architectures have been mainly proposed to improve design productivity, circuit portability and system debugging. In this paper, we address the use of overlay architectures for building fault tolerant SRAM-based FPGA systems and disc...
arxiv.org/abs/2511.09767v1
This paper presents and discusses forms of estimation by regularized regression and model selection using the LASSO method - Least Absolute Shrinkage and Selection Operator. LASSO is recognized as one of the main supervised learning methods applied t...
arxiv.org/abs/2005.12739v1
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data. Our proposed method consists of three components: detection, retrieval, and post-processing. We firstly conduct...
arxiv.org/abs/1904.11747v1
In recent years new functionality for VLBI data processing has been added to the CASA package. This paper presents the new CASA tasks 'fringefit' and 'accor', which are closely matched to their AIPS counterparts FRING and ACCOR. Several CASA tasks re...
arxiv.org/abs/1312.4127v1
This paper proposes a hybrid approach for co-channel speech segregation. HMM (hidden Markov model) is used to track the pitches of 2 talkers. The resulting pitch tracks are then enriched with the prominent pitch. The enriched tracks are correctly gro...
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Jan 1, 2024 · In this paper, we propose an efficient data-driven astronomical seeing forecasting method by leveraging the environment monitoring data from multiple sensors deployed with optical telescopes.
arxiv.org/abs/1312.6767v2
Jones and Boston conjectured that the factorization process for iterates of irreducible quadratic polynomials over finite fields is approximated by a Markov model. In this paper, we find unexpected and intricate behavior for some quadratic polynomial...
arxiv.org/abs/2310.04737v1
Games user research is a-booming -- or maybe a-goomba-ing -- with a boundless parade of papers popping up from every nook and pipe. We may need a super power -- or super method -- from another world. I outline three motivations for jump-starting rese...
www.bing.com/ck/a?!&&p=9569db6438a15a4e52b252abb609f9f62bbc48bdcae58cd02edf57ef9bdf41c5JmltdHM9MTc3MjE1MDQwMA&ptn=3&ver=2&hsh=4&fclid=301461b4-91a1-6e10-3d98-76b990d46f2d&u=a1aHR0cHM6Ly93d3cud29yZHJlZmVyZW5jZS5jb20vZGVmaW5pdGlvbi9lZGl0aW9u&ntb=1
one of a series of printings of a book, newspaper, etc., produced at one time and differing from another by changes, additions, etc.: the afternoon edition of the paper.
arxiv.org/abs/1707.05118v1
This paper presents the LIG-CRIStAL submission to the shared Automatic Post- Editing task of WMT 2017. We propose two neural post-editing models: a monosource model with a task-specific attention mechanism, which performs particularly well in a low-r...
www.bing.com/ck/a?!&&p=aaf04e38857b65f167117615af50b29c9ed41aac9728dd0ed57fd7c11e06fe22JmltdHM9MTc3MjE1MDQwMA&ptn=3&ver=2&hsh=4&fclid=301461b4-91a1-6e10-3d98-76b990d46f2d&u=a1aHR0cHM6Ly93d3cuY29sbGluc2RpY3Rpb25hcnkuY29tL2RpY3Rpb25hcnkvZW5nbGlzaC9lZGl0aW9u&ntb=1
An edition is a particular version of a book, magazine, or newspaper that is printed at one time. A paperback edition is now available at bookshops.
en.wikipedia.org/wiki/Diabolik
are distinguished for their greater realism and for a more substantial sexy style. Killing, an Italian comic book. Paperinik (Duck Avenger) is the volatile
arxiv.org/abs/2601.17112v1
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse natural language tasks but suffer from extremely large memory footprints and computational costs. In this paper, we introduce a tensor compression framework based o...
arxiv.org/abs/astro-ph/9907437v2
We previously reported a significant clustering of red galaxies (R-K=3.5--6) around the radio-loud quasar B2 1335+28 at z=1.086. In this paper, we establish the existence of a rich cluster at the quasar redshift, and study the properties of the clu...