A binary learning framework for hyperdimensional computing
Brain-inspired Hyperdimensional (HD) computing is a computing paradigm emulating a
neuron's activity in high-dimensional space. In practice, HD first encodes all data points to …
neuron's activity in high-dimensional space. In practice, HD first encodes all data points to …
Bric: Locality-based encoding for energy-efficient brain-inspired hyperdimensional computing
Brain-inspired Hyperdimensional (HD) computing is a new computing paradigm emulating
the neuron's activity in high-dimensional space. The first step in HD computing is to map …
the neuron's activity in high-dimensional space. The first step in HD computing is to map …
Searchd: A memory-centric hyperdimensional computing with stochastic training
Brain-inspired hyperdimensional (HD) computing emulates cognitive tasks by computing
with long binary vectors-also know as hypervectors-as opposed to computing with numbers …
with long binary vectors-also know as hypervectors-as opposed to computing with numbers …
Adapthd: Adaptive efficient training for brain-inspired hyperdimensional computing
Brain-inspired Hyperdimensional (HD) computing is a promising solution for energy-efficient
classification. HD emulates cognition tasks by exploiting long-size vectors instead of working …
classification. HD emulates cognition tasks by exploiting long-size vectors instead of working …
Manihd: Efficient hyper-dimensional learning using manifold trainable encoder
Hyper-Dimensional (HD) computing emulates the human short memory functionality by
computing with hyper-vectors as an alternative to computing with numbers. The main goal of …
computing with hyper-vectors as an alternative to computing with numbers. The main goal of …
Fach: Fpga-based acceleration of hyperdimensional computing by reducing computational complexity
Brain-inspired hyperdimensional (HD) computing explores computing with hypervectors for
the emulation of cognition as an alternative to computing with numbers. In HD, input symbols …
the emulation of cognition as an alternative to computing with numbers. In HD, input symbols …
Sparsehd: Algorithm-hardware co-optimization for efficient high-dimensional computing
Hyperdimensional (HD) computing is gaining traction as an alternative light-way machine
learning approach for cognition tasks. Inspired by the neural activity patterns of the brain, HD …
learning approach for cognition tasks. Inspired by the neural activity patterns of the brain, HD …
Hierarchical hyperdimensional computing for energy efficient classification
Brain-inspired Hyperdimensional (HD) computing emulates cognition tasks by computing
with hypervectors rather than traditional numerical values. In HD, an encoder maps inputs to …
with hypervectors rather than traditional numerical values. In HD, an encoder maps inputs to …
Stochd: Stochastic hyperdimensional system for efficient and robust learning from raw data
Hyperdimensional Computing (HDC) is a neurally-inspired computation model working
based on the observation that the human brain operates on high-dimensional …
based on the observation that the human brain operates on high-dimensional …
Semihd: Semi-supervised learning using hyperdimensional computing
In the Internet of Things (IoT), the large volume of data generated by sensors poses
significant computational challenges in resource-constrained environments. Most existing …
significant computational challenges in resource-constrained environments. Most existing …