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Found 11 papers, 9 papers with code
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
Malware detection is an interesting and valuable domain to work in because it has significant real-world impact and unique machine-learning challenges.
Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
While deep learning has enjoyed significant success in computer vision tasks over the past decade, many shortcomings still exist from a Cognitive Science (CogSci) perspective.
DDxT: Deep Generative Transformer Models for Differential Diagnosis
In the case of DDx, the proposed network has achieved a mean accuracy of 99. 82% and a mean F1 score of 0. 9472.
Recasting Self-Attention with Holographic Reduced Representations
In recent years, self-attention has become the dominant paradigm for sequence modeling in a variety of domains.
Lempel-Ziv Networks
Recurrent neural nets have been successful in processing sequences for a number of tasks; however, they are known to be both ineffective and computationally expensive when applied to very long sequences.
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Due to the computational cost of running inference for a neural network, the need to deploy the inferential steps on a third party's compute environment or hardware is common.
Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection
The proposed algorithm uses a single convolutional neural network to predict the probabilities of finger class and positions of fingertips in one forward propagation.
Affine transformation of virtual 3D object using 2D localization of fingertips
One purpose of VR environments is to transform a virtual 3D object with affine parameters by using the gesture of thumb and index fingers.
Detection and tracking of fingertips for geometric transformation of objects in virtual environment
In particular, the distance of the thumb and index fingertips is employed to scale a 3D object in virtual environment.
Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
