The Pyramid Match Kernel: Efficient Learning with Sets of Features
The Journal of Machine Learning Research
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Biologically Inspired Features for Face Processing
International Journal of Computer Vision
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Multilevel Image Coding with Hyperfeatures
International Journal of Computer Vision
Unsupervised learning of individuals and categories from images
Neural Computation
Selecting features for object detection using an AdaBoost-compatible evaluation function
Pattern Recognition Letters
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
International Journal of Computer Vision
Reliable face recognition using adaptive and robust correlation filters
Computer Vision and Image Understanding
Structure Is a Visual Class Invariant
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Combining Invariant and Corner-Like Features to Optimize Image Matching
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
International Journal of Computer Vision
Action Recognition Using a Bio-Inspired Feedforward Spiking Network
International Journal of Computer Vision
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A multi agent approach to vision based robot scavenging
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Boosting Shift-Invariant Features
Proceedings of the 31st DAGM Symposium on Pattern Recognition
MESH-based active Monte Carlo recognition (MESH-AMCR)
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hierarchical space-time model enabling efficient search for human actions
IEEE Transactions on Circuits and Systems for Video Technology
Local normalized linear summation kernel for fast and robust recognition
Pattern Recognition
Heartbeat of a nest: Using imagers as biological sensors
ACM Transactions on Sensor Networks (TOSN)
Patch-based experiments with object classification in video surveillance
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Neural object recognition by hierarchical learning and extraction of essential shapes
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Towards a robust vision-based obstacle perception with classifier fusion in cybercars
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Recognizing activities with multiple cues
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Learning-based license plate detection in vehicle image database
International Journal of Intelligent Information and Database Systems
A dynamically configurable coprocessor for convolutional neural networks
Proceedings of the 37th annual international symposium on Computer architecture
A saliency map method with cortex-like mechanisms and sparse representation
Proceedings of the ACM International Conference on Image and Video Retrieval
Mining families of features for efficient object detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A neuromorphic approach to computer vision
Communications of the ACM
Per-sample multiple kernel approach for visual concept learning
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Evaluation of pooling operations in convolutional architectures for object recognition
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Clustering complex data with group-dependent feature selection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Learning to Recognize Objects in Images Using Anisotropic Nonparametric Kernels
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
Recognition of partially occluded and rotated images with a network of spiking neurons
IEEE Transactions on Neural Networks
Incremental computation of feature hierarchies
Proceedings of the 32nd DAGM conference on Pattern recognition
Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications
International Journal of Computer Vision
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
A lattice-based neuro-computing methodology for real-time human action recognition
Information Sciences: an International Journal
A multi-scale learning framework for visual categorization
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Image classification using spatial pyramid coding and visual word reweighting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Learning invariant structure for object identification by using graph methods
Computer Vision and Image Understanding
Unsupervised learning of hierarchical representations with convolutional deep belief networks
Communications of the ACM
Segmentation and modeling of visually symmetric objects by robot actions
International Journal of Robotics Research
A neuromorphic approach to object detection and recognition in airborne videos with stabilization
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
PMA: Pixel-based multi-anchor algorithm for image recognition on multi-core systems
Proceedings of the 2012 International Workshop on Programming Models and Applications for Multicores and Manycores
Realistic smile expression recognition using biologically inspired features
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Deriving kernels from generalized Dirichlet mixture models and applications
Information Processing and Management: an International Journal
A segmentation-free method for image classification based on pixel-wise matching
Journal of Computer and System Sciences
The elastic net as visual category representation: visualisation and classification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Tensor-SIFT Based Earth Mover's Distance for Contour Tracking
Journal of Mathematical Imaging and Vision
An FPGA-based accelerator for cortical object classification
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Sparse activity and sparse connectivity in supervised learning
The Journal of Machine Learning Research
Object class detection: A survey
ACM Computing Surveys (CSUR)
L1 graph based on sparse coding for feature selection
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Multimedia Tools and Applications
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We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that work, we first apply Gabor filters at all positions and scales; feature complexity and position/scale invariance are then built up by alternating template matching and max pooling operations. We refine the approach in several biologically plausible ways, using simple versions of sparsification and lateral inhibition. We demonstrate the value of retaining some position and scale information above the intermediate feature level. Using feature selection we arrive at a model that performs better with fewer features. Our final model is tested on the Caltech 101 object categories and the UIUC car localization task, in both cases achieving state-of-the-art performance. The results strengthen the case for using this class of model in computer vision.