
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
This paper proposes to use Fast Fourier Transformationbased UNet (a re...
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Ontology and Cognitive Outcomes
The intelligence community relies on humanmachinebased analytic strate...
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A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
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KernelNet: A DataDependent Kernel Parameterization for Deep Generative Modeling
Learning with kernels is an often resorted tool in modern machine learni...
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Joint Handobject 3D Reconstruction from a Single Image with Crossbranch Feature Fusion
Accurate 3D reconstruction of the hand and object shape from a handobje...
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Making AI meaningful again
Artificial intelligence (AI) research enjoyed an initial period of enthu...
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Kervolutional Neural Networks
Convolutional neural networks (CNNs) have enabled the stateoftheart p...
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A2J: AnchortoJoint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
For 3D hand and body pose estimation task in depth image, a novel anchor...
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Stable and Efficient Policy Evaluation
Policy evaluation algorithms are essential to reinforcement learning due...
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AutoKnow: SelfDriving Knowledge Collection for Products of Thousands of Types
Can one build a knowledge graph (KG) for all products in the world? Know...
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Large Scale OpenSet Deep Logo Detection
We present an openset logo detection (OSLD) system, which can detect (l...
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ADMMNN: An AlgorithmHardware CoDesign Framework of DNNs Using Alternating Direction Method of Multipliers
To facilitate efficient embedded and hardware implementations of deep ne...
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3D Hand Shape and Pose Estimation from a Single RGB Image
This work addresses a novel and challenging problem of estimating the fu...
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Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
Accurate realtime object recognition from sensory data has long been a ...
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Learning Diverse Stochastic HumanAction Generators by Learning Smooth Latent Transitions
Humanmotion generation is a longstanding challenging task due to the r...
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Progress Regression RNN for Online SpatialTemporal Action Localization in Unconstrained Videos
Previous spatialtemporal action localization methods commonly follow th...
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Uncertainty Aware SemiSupervised Learning on Graph Data
Thanks to graph neural networks (GNNs), semisupervised node classificat...
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STFNets: Learning Sensing Signals from the TimeFrequency Perspective with ShortTime Fourier Neural Networks
Recent advances in deep learning motivate the use of deep neural network...
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Discretized Bottleneck in VAE: PosteriorCollapseFree SequencetoSequence Learning
Variational autoencoders (VAEs) are important tools in endtoend repres...
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3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
To facilitate depthbased 3D action recognition, 3D dynamic voxel (3DV) ...
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Hierarchical Data Reduction and Learning
Paper proposes a hierarchical learning strategy for generation of sparse...
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Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology
Unsupervised segmentation of large images using a Potts model Hamiltonia...
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Decomposed Adversarial Learned Inference
Effective inference for a generative adversarial model remains an import...
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Joint Surgical Gesture and Task Classification with MultiTask and Multimodal Learning
We propose a novel multimodal and multitask architecture for simultane...
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Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search
Decentralized swarm robotic solutions to searching for targets that emit...
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StructureAware HumanAction Generation
Generating longrange skeletonbased human actions has been a challengin...
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Injecting Reliable Radio Frequency Fingerprints Using Metasurface for The Internet of Things
In Internet of Things, where billions of devices with limited resources ...
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Outlier Detection by Consistent Data Selection Method
Often the challenge associated with tasks like fraud and spam detection[...
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Modularized Morphing of Neural Networks
In this work we study the problem of network morphism, an effective lear...
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LongTerm Memory Networks for Question Answering
Question answering is an important and difficult task in the natural lan...
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On Optimality Conditions for AutoEncoder Signal Recovery
AutoEncoders are unsupervised models that aim to learn patterns from ob...
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Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark
In Machine Learning, the parent set identification problem is to find a ...
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O^2TD: (Near)Optimal OffPolicy TD Learning
Temporal difference learning and Residual Gradient methods are the most ...
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ALamp: Adaptive LayoutAware MultiPatch Deep Convolutional Neural Network for Photo Aesthetic Assessment
Deep convolutional neural networks (CNN) have recently been shown to gen...
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Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
Social dynamics is concerned primarily with interactions among individua...
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Efficient L1Norm PrincipalComponent Analysis via Bit Flipping
It was shown recently that the K L1norm principal components (L1PCs) o...
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Storytelling of Photo Stream with Bidirectional Multithread Recurrent Neural Network
Visual storytelling aims to generate humanlevel narrative language (i.e...
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Dimensionality Reduction with Subspace Structure Preservation
Modeling data as being sampled from a union of independent subspaces has...
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SemiSupervised Nonlinear Distance Metric Learning via Forests of MaxMargin Cluster Hierarchies
Metric learning is a key problem for many data mining and machine learni...
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Active Clustering with ModelBased Uncertainty Reduction
Semisupervised clustering seeks to augment traditional clustering metho...
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Latent Fisher Discriminant Analysis
Linear Discriminant Analysis (LDA) is a wellknown method for dimensiona...
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Compositional Structure Learning for Action Understanding
The focus of the action understanding literature has predominately been ...
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Random Forests for Metric Learning with Implicit Pairwise Position Dependence
Metric learning makes it plausible to learn distances for complex distri...
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Toward PartsBased Scene Understanding with PixelSupport PartsSparse Pictorial Structures
Scene understanding remains a significant challenge in the computer visi...
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Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection
We propose a new feature extraction method based on two dynamical system...
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LinearTime Succinct Encodings of Planar Graphs via Canonical Orderings
Let G be an embedded planar undirected graph that has n vertices, m edge...
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An Algorithm for Computing Lipschitz Inner Functions in Kolmogorov's Superposition Theorem
Kolmogorov famously proved that multivariate continuous functions can be...
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OneDataShare: A Vision for Cloudhosted Data Transfer Scheduling and Optimization as a Service
Fast, reliable, and efficient data transmission across widearea network...
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Applications and Challenges of Realtime Mobile DNA Analysis
The DNA sequencing is the process of identifying the exact order of nucl...
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Systemlevel Scalable CheckpointRestart for Petascale Computing
Fault tolerance for the upcoming exascale generation has long been an ar...
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University at Buffalo
The State University of New York at Buffalo is a public research university with campuses in Buffalo and Amherst, New York, United States.