A single fast Hebbian-like process enabling one-shot class addition in deep neural networks without backbone modification.

One-shot learning, the ability to learn a new concept from a single instance, is a distinctive brain function that has garnered substantial interest in machine learning. While modeling physiological mechanisms poses challenges, advancements in artificial neural networks have led to performances in specific tasks that rival human capabilities. Proposing one-shot learning methods with these advancements, especially those involving simple mechanisms, not only enhance technological development but also contribute to neuroscience by proposing functionally valid hypotheses.

Real-to-Synthetic Feature Transform for Illumination Invariant Camera Localization.

Accurate camera localization is an essential part of tracking systems. However, localization results are greatly affected by illumination. Including data collected under various lighting conditions can improve the robustness of the localization algorithm to lighting variation but it is time consuming.

Bone marrow cavity segmentation using graph-cuts with wavelet-based texture feature.

Emerging bioimaging technologies enable us to capture various dynamic cellular activities [Formula: see text]. As large amounts of data are obtained these days and it is becoming unrealistic to manually process massive number of images, automatic analysis methods are required. One of the issues for automatic image segmentation is that image-taking conditions are variable.

Feature detection in biological tissues using multi-band and narrow-band imaging.

Purpose: In the past decade, augmented reality systems have been expected to support surgical operations by making it possible to view invisible objects that are inside or occluded by the skull, hands, or organs. However, the properties of biological tissues that are non-rigid and featureless require a large number of distributed features to track the movement of tissues in detail.

Methods: With the goal of increasing the number of feature points in organ tracking, we propose a feature detection using multi-band and narrow-band imaging and a new band selection method.

A Wide-View Parallax-Free Eye-Mark Recorder with a Hyperboloidal Half-Silvered Mirror and Appearance-Based Gaze Estimation.

In this paper, we propose a wide-view parallax-free eye-mark recorder with a hyperboloidal half-silvered mirror and a gaze estimation method suitable for the device. Our eye-mark recorder provides a wide field-of-view video recording of the user's exact view by positioning the focal point of the mirror at the user's viewpoint. The vertical angle of view of the prototype is 122 degree (elevation and depression angles are 38 and 84 degree, respectively) and its horizontal view angle is 116 degree (nasal and temporal view angles are 38 and 78 degree, respectively).