Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Strengthening the competitiveness of the American transportation industry relies on developing domestically produced electric ...

To think about an artificial limb is to think about a person. It's an object of touch and motion made to be used, one that ...

This letter proposes a new Bijective Weighted Kernel (BWK) with Connected Component Analysis (CCA) for visual object search. Existing match kernels often employ Term Frequency-Inverse Document ...

Add a description, image, and links to the page-object-model topic page so that developers can more easily learn about it. Curate this topic Add this topic to your repo To associate your repository ...

We used ComponentVersion to retrieve the ocm.software/podinfo component from a remote OCM repository (ghcr.io/open-component-model).We then fetched a resource from this component using the Resource ...

Several studies have applied the hidden Markov model (HMM) in multimode process monitoring. However, because the inherent duration probability density of HMM is exponential, which is inappropriate for ...

We present a novel approach to non-rigid objects contour tracking in this paper based on a supervised level set model (SLSM). In contrast to most existing trackers that use bounding box to specify the ...

In this study, a nonnegative constrained principal component regression chemical mass balance (NCPCRCMB) model was used to solve the near collinearity problem among source profiles for source ...