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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...
2017年多方城域规模网络中的实时分析研讨会（Workshop on Real-time Analytics in Multi-Party, Metro-scale Networks）
2017年 多方城域规模网络中的实时分析 研讨会
2017/3/30
Many Internet-of-Things (IoT) applications require real-time analytics to maintain situational awareness and make decisions for quick action. Most real-world IoT environments will involve:
· Multi-la...
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...
2017分布式云计算国际研讨会（International Workshop on Distributed Cloud Computing: Applying Scale Out to the Data Center）
分布式云计算国际 研讨会
2017/3/21
Most of the focus in public cloud computing technology over the last 10 years has been on massive, centralized data centers with thousands or hundreds of thousands of servers. The data centers are typ...
Constraint-based program analyses are appealing because elaborate analyses can be described with a concise and simple set of constraint generation rules. Constraint resolution algorithms have been dev...
Crowd-scale Interactive Formal Reasoning and Analytics
MOOC theorem prover formal logic online education
2016/5/24
Large online courses often assign problems that are gradable by simple checks such as multiple choice, but these checks are inappropriate for domains in which students may produce an infinity of corre...
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...
Digital Orthophotos at a Scale Of 1:5000 from High Resolution Satellite Images
Remote Sensing Cartography Ortorectification
2015/7/7
This paper describes the first results of a study, carried out within the national research program “Cofin2001”, on the potential use of
high resolution satellite images for making digital orthophoto...
Generalization of 3D Building Data Based on a Scale-Space Approach
Generalization of 3D Building Data
2015/7/6
Generalization of 3D Building Data Based on a Scale-Space Approach.
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...