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2017超越图像网大规模视觉识别挑战研讨会（Workshop on Beyond ImageNet Large Scale Visual Recognition Challenge）
2017年 超越图像网大规模视觉识别挑战 研讨会
2017/6/22
The workshop will mark the last of the ImageNet Challenge competitions, and focus on unanswered questions and directions for the future. The workshop will 1) present current results on the challenge c...
第六届大型机器学习与大数据分析并行与分布式计算国际研讨会（The 6th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics）
第六届 机器学习 大数据分析 并行 分布式计算 国际研讨会
2017/4/25
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Over the past few decades, human recognition has been extensively studied. Most of the research concentrates on typical physiological traits, e.g., face, fingerprint, voice, etc., which are usually di...
Small Formulas for Large Programs: On-line Constraint Simplification in Scalable Static Analysis
Small Formulas Large Programs On-line Constraint Simplification Scalable Static Analysis
2016/5/24
Static analysis techniques that represent program states as formulas typically generate a large number of redundant formulas that are incrementally constructed from previous formulas. In addition to q...
Block splitting for large-scale distributed learning
Machine statistics data sets convex optimization the model data collection processing machine
2015/8/7
Machine learning and statistics with very large datasets is now a topic of widespread interest, both in academia and industry. Many such tasks can be posed as convex optimization problems, so algorith...
Experiences in Upgrading of Large Databases of Satellite Images
Automation Spatial Database QuickBird
2015/7/7
Many technical aspects are involved in the upgrading of satellite image databases: geometric registration, resampling, radiometric
adjustment, mosaicking. In this paper, after an overview of all prob...
This paper presents a research and development project that will provide an extension to 2D geo-databases for handling large terrain
data. It first discusses application requirements and system desig...
Design and Implementation of a Web-based Application for The Visualization of Large Scale Photogrammetric and Cartographic Data
Photogrammetry Cartography Web-based Standards Open systems
2015/7/6
The objective of this paper is to show the way multiple source data like aerial photos, maps and descriptive information are combined
and amalgamated to form an Internet or Intranet application. The ...
Evolution Analysis of Large-Scale Software Systems Using Design Structure Matrices and Design Rule Theory
Software Systems Design Structure Design Rule Theory
2015/4/21
Designers often seek modular architectures to better accommodate expected changes and to enable parallel development. However, we lack a formal theory and model of modularity and software evolution, w...
Efficient Large Numbers Karatsuba-Ofman Multiplier Designs for Embedded Systems
finite field Karatsuba-Ofman long numbers multiplication mathematical model
2010/2/2
Long number multiplications (n ≥ 128-bit) are a
primitive in most cryptosystems. They can be performed better by
using Karatsuba-Ofman technique. This algorithm is easy to
parallelize on workstatio...
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
Sign Language Recognition Transition-Movement Models
2010/12/16
The major challenges that sign language recognition (SLR) now faces are developing methods that solve largevocabulary continuous sign problems. In this paper, transitionmovement
models (TMMs) are pro...
DTW/ISODATA algorithm and Multilayer Architecture in Sign Language Recognition with Large Vocabulary
DTW/ISODATA algorithm Multilayer Architecture Sign Language Recognition
2010/12/14
Up to now, the major problem for large vocabulary sign language recognition lies in the huge search space due to a variety of recognition classes.Analytical methods such as Dynamic Time Wrapping (DTW...
Based on HMM and SVM Multilayer Architecture Classifier for Chinese Sign Language Recognition with Large Vocabulary
HMM SVM Multilayer Architecture Classifier Chinese Sign Language Recognition
2010/12/14
This paper has put forward a new architecture classifier method for Chinese sign language recognition (CSLR) to improve the performance of recognition. It is a signer-independent method, to recognize ...
Transition Movement Models for Large Vocabulary Continuous Sign Language Recognition,
Transition Movement Models Sign Language Recognition
2010/12/15
The major challenges that sign language recognition (SLR) now faces are developing methods that solve large vocabulary continuous sign problems. In this paper, large vocabulary continuous SLR based on...