Conditional Random Fields and Support Vector Machines: A Hybrid Approach
We propose a novel hybrid loss for multiclass and structured prediction problems that is a convex combination of log loss for Conditional Random Fields (CRFs) and a multiclass hinge loss for Support V...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Agricultural Implications of the Fukushima Nuclear Accident
The First Three Years...
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In Vivo Cardiac Cellular Reprogramming Efficacy Is Enhanced by Angiogenic Preconditioning of the Inf
This article is from Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease , volume 1 . Abstract Background: In situ cellular reprogramming offers the possibility of re...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Signal Computing
Digital Signals in the Software Domain...
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Cosmological special relativity
First published in 1997...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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The European Landing Obligation
Reducing Discards in Complex, Multi-Species and Multi-Jurisdictional Fisheries...
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Habitats and Biota of the Gulf of Mexico: Before the Deepwater Horizon Oil Spill
Volume 2: Fish Resources, Fisheries, Sea Turtles, Avian Resources, Marine Mammals, Diseases and Mortalities...
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An efficient Fisher-scoring algorithm for fitting latent class models with individual covariates
For latent class models where the class weights depend on individual covariates, we derive a simple expression for computing the score vector and a convenient hybrid between the observed and the expec...
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Generalized Max Pooling
State-of-the-art patch-based image representations involve a pooling operation that aggregates statistics computed from local descriptors. Standard pooling operations include sum- and max-pooling. Sum...
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Essentials of medical geology : impacts of the natural environment on public health
1 online resource (xiv, 812 pages) :...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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DTIC AD1037658: ACTIVE: Activity Concept Transitions in Video Event Classification (Open Access)
The goal of high level event classification from videos is to assign a single, high level event label to each query video. Traditional approaches represent each video as a set of low level features an...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Variant Construction from Theoretical Foundation to Applications
...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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A note on the multivariate linear model with constraints on the dependent vector
First published in 1978...
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Impacts of the Fukushima Nuclear Accident on Fish and Fishing Grounds
...
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Egocentric Activity Recognition with Multimodal Fisher Vector
With the increasing availability of wearable devices, research on egocentric activity recognition has received much attention recently. In this paper, we build a Multimodal Egocentric Activity dataset...
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Probing the Intra-Component Correlations within Fisher Vector for Material Classification
Fisher vector (FV) has become a popular image representation. One notable underlying assumption of the FV framework is that local descriptors are well decorrelated within each cluster so that the cova...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Algorithmic Graph Theory and Sage
...
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Fish, Fishing and Community in North Korea and Neighbours
Vibrant Matter(s)...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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The Bluefin Tuna Fishery in the Bay of Biscay
Its Relationship with the Crisis of Catches of Large Specimens in the East Atlantic Fisheries from the 1960s...
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Feature Construction for Relational Sequence Learning
We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly each relational sequence is ma...
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Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth
We present an application of the Layer-wise Relevance Propagation (LRP) algorithm to state of the art deep convolutional neural networks and Fisher Vector classifiers to compare the image perception a...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Quantifying The Complexity Of Geodesic Paths On Curved Statistical Manifolds Through Information Geo
We characterize the complexity of geodesic paths on a curved statistical manifold M_{s} through the asymptotic computation of the information geometric complexity V_{M_{s}} and the Jacobi vector field...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Vermin, Victims and Disease
British Debates over Bovine Tuberculosis and Badgers...
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Observational Evidence of Back-reaction on the Solar Surface Associated with Coronal Magnetic Restru
Most models of solar eruptions assume that coronal field lines are anchored in the dense photosphere and thus the photospheric magnetic fields would not have rapid, irreversible changes associated wit...
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Proof of the Quantum Null Energy Condition
We prove the Quantum Null Energy Condition (QNEC), a lower bound on the stress tensor in terms of the second variation in a null direction of the entropy of a region. The QNEC arose previously as a co...
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Bayesian Methods in the Search for MH370
...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Convolutional neural network (CNN) has achieved state-of-the-art performance in many different visual tasks. Learned from a large-scale training dataset, CNN features are much more discriminative and ...
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Estimating Flare-related Photospheric Lorentz Force Vector Changes within Active Regions
It is shown that expressions for the global Lorentz force associated with a flaring active region derived by Fisher {\it et al.} (2012) can be used to estimate the Lorentz force changes for strong fie...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
In the traditional object recognition pipeline, descriptors are densely sampled over an image, pooled into a high dimensional non-linear representation and then passed to a classifier. In recent years...
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Foundations of Machine Learning
...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Understanding Machine Learning
From Theory to Algorithms...
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Linear Selection Indices in Modern Plant Breeding
...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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A Category Space Approach to Supervised Dimensionality Reduction
Supervised dimensionality reduction has emerged as an important theme in the last decade. Despite the plethora of models and formulations, there is a lack of a simple model which aims to project the s...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Understanding the Fisher Vector: a multimodal part model
Fisher Vectors and related orderless visual statistics have demonstrated excellent performance in object detection, sometimes superior to established approaches such as the Deformable Part Models. How...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →Michael Penguyne; or, Fisher Life on the Cornish Coast
First published in 2018...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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On (Un)Broken Higher-Spin Symmetry in Vector Models
The simplest consequences of exact and broken higher-spin symmetry are studied. The one-loop anomalous dimensions of higher-spin currents are determined from the multiplet recombination in the spirit ...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Biodiversity and Health in the Face of Climate Change
...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Probabilistic classifiers with low rank indefinite kernels
Indefinite similarity measures can be frequently found in bio-informatics by means of alignment scores, but are also common in other fields like shape measures in image retrieval. Lacking an underlyin...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Structural Geology Algorithms
First published in 2011...
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