Despite its great success, machine learning can have its limits when dealing with insufficient
training data. A potential solution is the additional integration of prior knowledge into the …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Traditional approaches for learning 3D object categories have been predominantly trained
and evaluated on synthetic datasets due to the unavailability of real 3D-annotated category …

We extend the task of composed image retrieval, where an input query consists of an image
and short textual description of how to modify the image. Existing methods have only been …

The artificial neural network (ANN)–a machine learning technique inspired by the human
neuronal synapse system–was introduced in the 1950s. However, the ANN was previously …

Rice (Oryza sativa L.) is a staple cereal crop and its demand is substantially increasing with
the growth of the global population. Precisely predicting rice yields are of vital importance to …

Eye tracking is the process of measuring where one is looking (point of gaze) or the motion
of an eye relative to the head. Researchers have developed different algorithms and …

Support vector machines (SVMs) are a supervised classifier successfully applied in a
plethora of real-life applications. However, they suffer from the important shortcomings of …

INTRODUCTION The hippocampus plays an important role in memory and spatial
navigation. When rodents navigate a spatial maze, hippocampal neurons called place cells …

As a way to relieve the tedious work of manual annotation, active learning plays important
roles in many applications of visual concept recognition. In typical active learning scenarios …