Image data set from a multi-spectral animal imaging system is used to ad...
We resolve two open problems in sorting with priced information, introdu...
The 3D printing process flow requires several inputs for the best printi...
An in-house developed 2D ultrasound computerized Tomography system is fu...
The adversarial risk of a machine learning model has been widely studied...
The classical and extensively-studied Fréchet distance between two curve...
There has been a long-standing interest in computing diverse solutions t...
Relatively abundant availability of medical imaging data has provided
si...
Photonic Crystal Fiber design based on surface plasmon resonance phenome...
Deep neural networks are known to have security issues. One particular t...
Label noise is frequently observed in real-world large-scale datasets. T...
Stochastic Gradient Descent (SGD) based methods have been widely used fo...
Noisy labels can impair the performance of deep neural networks. To tack...
To collect large scale annotated data, it is inevitable to introduce lab...
Motivated by indoor localization by tripwire lasers, we study the proble...
In the unit-cost comparison model, a black box takes an input two items ...
We consider static, external memory indexes for exact and approximate
ve...
We study multi-finger binary search trees (BSTs), a far-reaching extensi...
Frequency estimation data structures such as the count-min sketch (CMS) ...
The Bloom filter---or, more generally, an approximate membership query d...