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SEMANTIC PHOTOGRAMMETRY – BOOSTING IMAGE-BASED 3D RECONSTRUCTION WITH SEMANTIC LABELING
image-based 3D reconstruction label transfer semantic photogrammetry dense image matching
2019/3/4
Automatic semantic segmentation of images is becoming a very prominent research field with many promising and reliable solutions already available. Labelled images as input for the photogrammetric pip...
OPEN NETWORK FOR LOCAL SELF SUSTAINABILITY, BOOSTING BIOREGIONAL DEVELOPMENT THROUGH AN OPEN DATA SHARING SYSTEM
Self sustainability Spatial Data Sharing Systems geo-referenced LCA data
2018/11/8
The paper presents an online geodatabase currently under development. Its name is Open NETwork for Local Self Sustainability and the website address is www.oloss.net.The goal of this platform is to pu...
Boosting Authenticated Encryption Robustness With Minimal Modifications
authenticated encryption robust AES
2017/3/13
Secure and highly efficient authenticated encryption (AE) algorithms which achieve data confidentiality and authenticity in the symmetric-key setting have existed for well over a decade. By all conven...
THE USAGE OF RUSBOOST BOOSTING METHOD FOR CLASSIFICATION OF IMPERVIOUS SURFACES
RUSboost Classification tree Impervious surface Image classification Remote sensing
2016/11/24
Impervious surface areas are artificial structures covered by materials such as asphalt, stone, brick, rooftops and concrete. Buildings, parking lots, roads, driveways and sidewalks are shown as imper...
融合遮挡感知的在线Boosting跟踪算法
在线Boosting 遮挡感知 ORB特征 目标跟踪
2016/12/3
提出融合遮挡感知的在线Boosting跟踪算法，该算法对跟踪结果实时进行遮挡检测，根据检测结果自适应调整分类器更新策略。该方式能够有效维护分类器特征池的纯净，提高算法在遮挡环境下的顽健性。实验结果表明，与传统的在线Boosting跟踪算法相比，改进的算法能有效解决目标遮挡问题。
Universal Obfuscation and Witness Encryption: Boosting Correctness and Combining Security
Indistinguishability Obfuscation Witness Encryption Combiners
2016/3/14
Over the last few years a new breed of cryptographic primitives has arisen: on one hand they have previously unimagined utility and on the other hand they are not based on simple to state and tried ou...
Boosting Linearly-Homomorphic Encryption to Evaluate Degree-2 Functions on Encrypted Data
public-key cryptography homomorphic encryption
2016/1/6
We show a technique to transform a linearly-homomorphic encryption into a homomorphic
encryption scheme capable of evaluating degree-2 computations on ciphertexts. Our transformation is
surprisingly...
Boosting Higher-Order Correlation Attacks by Dimensionality Reduction
Dimensionality Reduction Higher-Order Correlation
2016/1/5
Multi-variate side-channel attacks allow to break higher-order masking
protections by combining several leakage samples. But how to optimally extract all
the information contained in all possible d-...
Boosting OMD for Almost Free Authentication of Associated Data
Authenticated encryption OMD associated data
2015/12/31
We propose pure OMD (p-OMD) as a new variant of the Offset Merkle-Damgård (OMD) authenticated
encryption scheme. Our new scheme inherits all desirable security features of OMD while having
a m...
EFFECTIVENESS OF BOOSTING ALGORITHMS IN FOREST FIRE CLASSIFICATION
Forest fire SPOT 4 Adaboost Logitboost Multilayer Perseptron Regression Tree
2015/12/31
In this paper, it is aimed to investigate the capabilities of boosting classification approach for forest fire detection using SPOT-4 imagery. The study area, Bodrum in the province of Muğla, isl...
Support Vector Machines,Kernel Logistic Regression,and Boosting
Support Vector Machines Kernel Logistic Regression Boosting
2015/8/21
Support Vector Machines,Kernel Logistic Regression,and Boosting.
Boosting as a Regularized Path to a Maximum Margin Classifier
boosting regularized optimization support vector machines margin maximization
2015/8/21
In this paper we study boosting methods from a new perspective. We build on recent work by Efron et al. to show that boosting approximately (and in some cases exactly) minimizes its loss criterion wit...
We congratulate the authors for their interesting papers on boosting and related topics. Jiangdeals with the asymptotic consistency of Adaboost. Lugosi and Vayatis study the convex optimization of los...
NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES
MULTICATEGORY BOOSTING ALGORITHMS MULTICATEGORY FISHER-CONSISTENT LOSSES
2015/8/21
Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategor...
Boosting search by rare events
Random search algorithm combination nonequilibrium random random algorithm
2015/8/21
Randomized search algorithms for hard combinatorial problems exhibit a large variability of per- formances. We study the different types of rare events which occur in such out-of-equilibrium stochasti...